[Wikidata] [Deadline extension] Wikidata Workshop

[Lucie Kaffee]

Extended deadline! Papers are due on Thursday, 27 July 2023


The Fourth Wikidata Workshop

Call for Papers

Co-located with the 22nd International Conference on Semantic Web (ISWC
2023).

Date: November 7, 2023

In Athens, Greece (in-person event)

The format of the workshop will be announced soon

Website: https://wikidataworkshop.github.io/2023/

== Important dates ==

Papers due: Thursday, 27 July 2023 (Extended!)

Notification of accepted papers: Thursday, September 31, 2023

Camera-ready papers due: Thursday, September 7, 2023

Workshop date: November 07, 2023

== Overview ==

Wikidata is an openly available knowledge base hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop primarily seeks original contributions that address the
opportunities and challenges of creating, contributing to, and using a
global, collaborative, open-domain, multilingual knowledge graph such as
Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we are less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance, by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

This year, we again added a track for already published work. To foster
conversations around the topic of Wikidata, we invite authors of papers
published at other conferences to submit their papers to present at the
workshop. These will not be included in the proceedings but gives a chance
for authors to interact with the community.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchanges rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster.


== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata

- Referencing in Wikidata

- Anomaly, bias, or novelty detection in Wikidata

- Algorithms for aligning Wikidata with other knowledge graphs

- The Semantic Web and Wikidata

- Community interaction in Wikidata

- Multilingual aspects of Wikidata

- Using LLM with Wikidata

- Innovative uses of AI and NLP applications for Wikidata

- Machine learning approaches to improve data quality in Wikidata

- Tools, bots, and datasets for improving or evaluating Wikidata

- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem

- Human-bot interaction

- Managing knowledge evolution in Wikidata

- Abstract Wikipedia


== Submission guidelines ==

We welcome the following types of contributions.

= Track 1: Novel Works =

The papers in this track will be peer-reviewed by at least three
researchers using a single-blind review process. Accepted papers will be
published as open-access papers on CEUR (authors can also waive this). We
invite the following types of papers:

- Full research paper: Novel research contributions (7-12 pages)

- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)

- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)

- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)

- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.


Papers have to be submitted through OpenReview(Please add “[NOVEL]” at the
beginning of the title on the submission page so we know that you are
submitting to this track):

https://openreview.net/group?id=swsa.semanticweb.org/ISWC/2023/Workshop/Wikidata


= Track 2: Published works =

This track welcomes papers previously published at a peer-reviewed 

[Wikidata] Call for papers: Wikidata Workshop @ ISWC

[Lucie Kaffee]

We are very excited that we will conduct the fourth Wikidata workshop this
year and would be very happy to see a lot of submissions from the Wikidata
community! Please see the call for papers below!

The Fourth Wikidata Workshop
Call for Papers

Co-located with the 22nd International Conference on Semantic Web (ISWC
2023).
Date: November 6 or 7, 2023
The format of the workshop will be announced soon

Website: https://wikidataworkshop.github.io/2023/

== Important dates ==

Papers due: Thursday, 20 July 2023
Notification of accepted papers: Thursday, September 31, 2023
Camera-ready papers due: Thursday, September 7, 2023
Workshop date: November 06/07, 2023


== Overview ==

Wikidata is an openly available knowledge base hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop primarily seeks original contributions that address the
opportunities and challenges of creating, contributing to, and using a
global, collaborative, open-domain, multilingual knowledge graph such as
Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we are less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance, by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

This year, we again added a track for already published work. To foster
conversations around the topic of Wikidata, we invite authors of papers
published at other conferences to submit their papers to present at the
workshop. These will not be included in the proceedings but gives a chance
for authors to interact with the community.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchanges rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster.



== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects of Wikidata
- Using LLM with Wikidata
- Innovative uses of AI and NLP applications for Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots, and datasets for improving or evaluating Wikidata
- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata
- Abstract Wikipedia


== Submission guidelines ==

We welcome the following types of contributions.

= Track 1: Novel Works =

The papers in this track will be peer-reviewed by at least three
researchers using a single-blind review process. Accepted papers will be
published as open-access papers on CEUR (authors can also waive this). We
invite the following types of papers:

- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.


Papers have to be submitted through OpenReview(Please add “[NOVEL]” at the
beginning of the title on the submission page so we know that you are
submitting to this track):
https://openreview.net/group?id=swsa.semanticweb.org/ISWC/2023/Workshop/Wikidata


= Track 2: Published 

[Wikidata] Call for Papers: Semantic Web Journal Special Issue on Wikidata: Construction, Evaluation and Applications

[Lucie Kaffee]

The deadline for the Semantic Web Journal Special Issue on Wikidata was
extended to 14.02. More information can be found here:
https://www.semantic-web-journal.net/blog/call-papers-special-issue-wikidata-construction-evaluation-and-applications

We are looking forward to your contributions! The full call for papers is
below.


Call for papers: Semantic Web Journal Special Issue on
Wikidata: Construction, Evaluation and Applications

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
semantic web applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing
comprehensive, peer-reviewed research. This special issue fills this gap -
we hope to provide a forum to build this fledgling scientific community and
promote novel work and resources that support it.

The special issue seeks original contributions and extended conference
papers that address the opportunities and challenges of creating,
contributing to, and using the global, collaborative, open-domain,
multilingual knowledge graph Wikidata.
Topics

Topics of submissions include, but are not limited to:

   - Data quality and vandalism detection in Wikidata
   - Referencing in Wikidata
   - Anomaly, bias, or novelty detection in Wikidata
   - Algorithms for aligning Wikidata with other structured or
   semi-structured resources
   - Representation, Semantic Annotation, Enhancement and Enrichments using
   Wikidata
   - Semantic Parsing and Question Answering using Wikidata
   - The Semantic Web and Wikidata
   - Community interaction in Wikidata
   - Multilingual data in Wikidata and its reuse
   - Data quality in Wikidata: Approaches for problem detection, evaluation
   and improvement
   - Tools, bots, and datasets for improving or evaluating Wikidata
   - Participation, diversity, and inclusivity aspects in the Wikidata
   ecosystem
   - Human-bot interaction
   - Managing knowledge evolution in Wikidata
   - Abstract Wikipedia
   - Wikidata in NLP applications

Deadline

   - Submission deadline: 14 February 2023 (extended!). Papers submitted
   before the deadline will be reviewed upon receipt.

Author Guidelines

Submissions shall be made through the Semantic Web journal website at
http://www.semantic-web-journal.net. Prospective authors must take notice
of the submission guidelines posted at
http://www.semantic-web-journal.net/authors.

We welcome four main types of submissions: (i) full research papers, (ii)
reports on tools and systems, (iii) dataset descriptions, and (iv) survey
articles. The description of submission types is posted at
http://www.semantic-web-journal.net/authors#types. While there is no upper
limit, paper length must be justified by content.

Note that you need to request an account on the website for submitting a
paper. Please indicate in the cover letter that it is for the "Wikidata"
special issue. All manuscripts will be reviewed based on the SWJ open and
transparent review policy and will be made available online during the
review process.

Also note that the Semantic Web journal is open access
.

Finally please note that submissions must comply with the journal’s Open
Science Data requirements, which are detailed in the corresponding blog post

.
Guest editors

The guest editors can be reached at wikidata-...@googlegroups.com .

Lucie-Aimée Kaffee, University of Copenhagen, lucie.kaf...@gmail.com
Simon Razniewski, Max Planck Institute for Informatics,
srazn...@mpi-inf.mpg.de
Pavlos Vougiouklis, Huawei Technologies, pavlos.vougiouk...@huawei.com
Guest editorial board

to be expanded

Fariz Darari, University of Indonesia
Houcemeddine Turki, University of Sfax, Tunisia
Alasdair Gray, Heriot-Watt University, Edinburgh, UK
Seyed Amir Hosseini Beghaeiraveri,Heriot-Watt University, Edinburgh, UK
Daniel Garijo, UPM
Nikos Papasarantopoulos, Huawei Technologies

-- 
Lucie-Aimée Kaffee
___
Wikidata mailing list -- wikidata@lists.wikimedia.org
Public archives at 
https://lists.wikimedia.org/hyperkitty/list/wikidata@lists.wikimedia.org/message/5L7GVAIE6DXRXGZGEZOV4HQBWXNY3FW5/
To unsubscribe send an email to wikidata-le...@lists.wikimedia.org

[Wikidata] [CfP] The Third Wikidata Workshop: Second Call for Papers

[Lucie Kaffee]

The Third Wikidata Workshop

Second Call for Papers

Co-located with the 21st International Conference on Semantic Web (ISWC
2022).

Date: October 23 or 24, 2022

The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/2022/

== Important dates ==

Papers due: Friday, 29 July 2022

Notification of accepted papers: Friday, September 23, 2022

Camera-ready papers due: Monday, October 3, 2022

Workshop date: October 23/24, 2022

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop primarily seeks original contributions that address the
opportunities and challenges of creating, contributing to, and using a
global, collaborative, open-domain, multilingual knowledge graph such as
Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we are less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

This year, we also added a track for already published work. To foster
conversations around the topic of Wikidata, we invite authors of papers
published at other conferences to submit their papers to present at the
workshop. These will not be included in the proceedings but gives a chance
for authors to interact with the community.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata

- Referencing in Wikidata

- Anomaly, bias, or novelty detection in Wikidata

- Algorithms for aligning Wikidata with other knowledge graphs

- The Semantic Web and Wikidata

- Community interaction in Wikidata

- Multilingual aspects in Wikidata

- Machine learning approaches to improve data quality in Wikidata

- Tools, bots, and datasets for improving or evaluating Wikidata

- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem

- Human-bot interaction

- Managing knowledge evolution in Wikidata

- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions.

= Track 1: Novel Works =

The papers in this track will be peer-reviewed by at least three
researchers. Accepted papers will be published as open access papers on
CEUR (authors can also waive this). We invite the following types of papers:

- Full research paper: Novel research contributions (7-12 pages)

- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)

- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)

- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)

- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.


Papers have to be submitted through easychair (Please add “[NOVEL]” in the
beginning of the title on the submission page so we know that you are
submitting to this track):
https://easychair.org/my/conference?conf=wikidataworkshop2022


= Track 2: Published works =

This track welcomes papers previously published at a peer-reviewed research
venue, to be presented and discussed in the workshop. They do not have to
follow the formatting and page limit instructions from Track 1, and can
instead be submitted in the original format.

[Wikidata] [CfP] The Third Wikidata Workshop

[Lucie Kaffee]

The Third Wikidata Workshop

Call for Papers

Co-located with the 21st International Conference on Semantic Web (ISWC
2022).

Date: October 23 or 24, 2022

The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/2022/

== Important dates ==

Papers due: *Friday, *29 July 2022

Notification of accepted papers: Friday, September 23, 2022

Camera-ready papers due: Monday, October 3, 2022

Workshop date: October 23/24, 2022

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop primarily seeks original contributions that address the
opportunities and challenges of creating, contributing to, and using a
global, collaborative, open-domain, multilingual knowledge graph such as
Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we are less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

This year, we also added a track for already published work. To foster
conversations around the topic of Wikidata, we invite authors of papers
published at other conferences to submit their papers to present at the
workshop. These will not be included in the proceedings but gives a chance
for authors to interact with the community.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata

- Referencing in Wikidata

- Anomaly, bias, or novelty detection in Wikidata

- Algorithms for aligning Wikidata with other knowledge graphs

- The Semantic Web and Wikidata

- Community interaction in Wikidata

- Multilingual aspects in Wikidata

- Machine learning approaches to improve data quality in Wikidata

- Tools, bots, and datasets for improving or evaluating Wikidata

- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem

- Human-bot interaction

- Managing knowledge evolution in Wikidata

- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions.

= Track 1: Novel Works =

The papers in this track will be peer-reviewed by at least three
researchers. Accepted papers will be published as open access papers on
CEUR (authors can also waive this). We invite the following types of papers:

- Full research paper: Novel research contributions (7-12 pages)

- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)

- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)

- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)

- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.


Papers have to be submitted through easychair (Please add “[NOVEL]” in the
beginning of the title on the submission page so we know that you are
submitting to this track):
https://easychair.org/my/conference?conf=wikidataworkshop2022


= Track 2: Published works =

This track welcomes papers previously published at a peer-reviewed research
venue, to be presented and discussed in the workshop. They do not have to
follow the formatting and page limit instructions from Track 1, and can
instead be submitted in the original format.

[Wikidata] [Call for Papers] Extended Deadline: Wikidata Workshop 2021

[Lucie Kaffee]

Hi everyone,

We extended the deadline for submissions to the Wikidata Workshop to
*August 6*. We are very much looking forward to your contributions. Please
find more information below.

===
The Second Wikidata Workshop

Co-located with the 20th International Conference on Semantic Web (ISWC
2021).
Date: October 24 or 25, 2021
The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/2021/

== Important dates ==

Papers due:  Friday, August 6, 2021 (EXTENDED)
Notification of accepted papers: Friday, September 24, 2021
Camera-ready papers due: Monday, October 4, 2021
Workshop date: October 24/25, 2021

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop seeks original contributions that address the opportunities
and challenges of creating, contributing to, and using a global,
collaborative, open-domain, multilingual knowledge graph such as Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we’re less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

We also encourage submissions on the topic of Abstract Wikipedia,
particularly around collaborative code management, natural language
generation by a community, the abstract representation of knowledge, and
the interaction between Abstract Wikipedia and Wikidata on the one, and
Abstract Wikipedia and the language Wikipedias on the other side.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects in Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots, and datasets for improving or evaluating Wikidata
- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata
- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions.

- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.

The papers will be peer-reviewed by at least three researchers. Accepted
papers will be published as open access papers on CEUR (we will only
publish to CEUR if the authors agree to have their papers published).

Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidata21

== Proceedings ==

The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).

== Organizing committee ==
Lucie-Aimée Kaffee, University of Southampton, lucie.kaffee[[@]]gmail.com
Simon Razniewski, Max Planck Institute for Informatics, srazniew[[@]]
mpi-inf.mpg.de

[Wikidata] [CfP] Wikidata Workshop 2021: Second Call for Papers

[Lucie Kaffee]

Please find the second call for papers for the Wikidata workshop below. I
am looking forward to reading your work related to Wikidata and seeing some
of you there!

The Second Wikidata Workshop

Co-located with the 20th International Conference on Semantic Web (ISWC
2021).

Date: October 24 or 25, 2021

The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/2021/

== Important dates ==

Papers due:  Friday, July 30, 2021

Notification of accepted papers: Friday, September 24, 2021

Camera-ready papers due: Monday, October 4, 2021

Workshop date: October 24/25, 2021

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.

The workshop seeks original contributions that address the opportunities
and challenges of creating, contributing to, and using a global,
collaborative, open-domain, multilingual knowledge graph such as Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we’re less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.

We also encourage submissions on the topic of Abstract Wikipedia,
particularly around collaborative code management, natural language
generation by a community, the abstract representation of knowledge, and
the interaction between Abstract Wikipedia and Wikidata on the one, and
Abstract Wikipedia and the language Wikipedias on the other side.

We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.

The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata

- Referencing in Wikidata

- Anomaly, bias, or novelty detection in Wikidata

- Algorithms for aligning Wikidata with other knowledge graphs

- The Semantic Web and Wikidata

- Community interaction in Wikidata

- Multilingual aspects in Wikidata

- Machine learning approaches to improve data quality in Wikidata

- Tools, bots, and datasets for improving or evaluating Wikidata

- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem

- Human-bot interaction

- Managing knowledge evolution in Wikidata

- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions.

- Full research paper: Novel research contributions (7-12 pages)

- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)

- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)

- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)

- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.

The papers will be peer-reviewed by at least three researchers. Accepted
papers will be published as open access papers on CEUR (we will only
publish to CEUR if the authors agree to have their papers published).

Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidata21

== Proceedings ==

The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).

== Organizing committee ==

Lucie-Aimée Kaffee, University of Southampton, lucie.kaffee[[@]]gmail.com

Simon Razniewski, Max Planck Institute for Informatics, srazniew[[@]]
mpi-inf.mpg.de

Aidan Hogan, 

[Wikidata] [CfP] The Second Wikidata Workshop @ ISWC 2021

[Lucie Kaffee]

1st Call for Papers:
** The Second Wikidata Workshop **

Co-located with the 20th International Conference on Semantic Web (ISWC
2021).
Date: October 24 or 25, 2021
The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/2021/

== Important dates ==

Papers due:  Friday, July 30, 2021
Notification of accepted papers: Friday, September 24, 2021
Camera-ready papers due: Monday, October 4, 2021
Workshop date: October 24/25, 2021

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines
and acts as a common structured data repository for several Wikimedia
projects, including Wikipedia, Wiktionary, and Wikisource. It is used in
a variety of applications by researchers and practitioners alike.

In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the
broader Wikidata community to meet, none of them focuses on publishing
original, peer-reviewed research. This workshop fills this gap - we hope
to provide a forum to build this fledgling scientific community and
promote novel work and resources that support it.

The workshop seeks original contributions that address the opportunities
and challenges of creating, contributing to, and using a global,
collaborative, open-domain, multilingual knowledge graph such as Wikidata.

We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem, or enabled by it. What we’re less
interested in are works which use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds
back into the Wikidata ecosystem, for instance by improving or
commenting on some Wikidata aspect, or suggesting new design features,
tools and practices.

We also encourage submissions on the topic of Abstract Wikipedia,
particularly around collaborative code management, natural language
generation by a community, the abstract representation of knowledge, and
the interaction between Abstract Wikipedia and Wikidata on the one, and
Abstract Wikipedia and the language Wikipedias on the other side.

We welcome interdisciplinary work, as well as interesting applications
that shed light on the benefits of Wikidata and discuss areas of
improvement.

The workshop is planned as an interactive half-day event, in which most
of the time will be dedicated to discussions and exchange rather than
oral presentations. For this reason, all accepted papers will be
presented in short talks and accompanied by a poster. All works will be
presented online.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects in Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots and datasets for improving or evaluating Wikidata
- Participation, diversity and inclusivity aspects in the Wikidata ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata
- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions.

- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope
than full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, formatted in the style of the
Springer Publications format for Lecture Notes in Computer Science
(LNCS). For details on the LNCS style, see Springer’s Author Instructions.

The papers will be peer-reviewed by at least three researchers. Accepted
papers will be published as open access papers on CEUR (we will only
publish to CEUR if the authors agree to have their papers published).

Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidata21

== Proceedings ==

The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).

== Organizing committee ==
Lucie-Aimée Kaffee, University of Southampton,
lucie.kaffee[[@]]gmail.com
Simon Razniewski, Max Planck Institute for Informatics,
srazniew[[@]]mpi-inf.mpg.de
Aidan Hogan, University of Chile,
ahogan[[@]]dcc.uchile.cl

-- 
Lucie-Aimée Kaffee
___
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[Wikidata] Languages and labels in Wikidata

[Lucie Kaffee]

Hey everyone!

I have been working around labels and languages in Wikidata for a while and
wanted to create or maintain a list of tools/help pages/guidelines and
other relevant content around the multilingual data in Wikidata. E.g.,
tools for label translation.

I have created a page in my userspace (that I am happy to migrate into any
existing page) and would be very happy about any pointers to existing
projects/tools/etc.
https://www.wikidata.org/wiki/User:Frimelle/Languages_and_labels

Please let me know if you can point me to any tools around languages and
labels in Wikidata!

Thanks,
Lucie (User:Frimelle)

-- 
Lucie-Aimée Kaffee
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[Wikidata] Wikidata Workshop: Second Call for Papers

[Lucie Kaffee]

*The First Wikidata Workshop*

Co-located with the 19th International Conference on Semantic Web (ISWC
2020).
Date: October 29, 2020
The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/

== Important dates ==

Papers due: August 10, 2020
Notification of accepted papers: September 11, 2020
Camera-ready papers due: September 21, 2020
Workshop date: October 29, 2020

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.
In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.
The workshop seeks original contributions that address the opportunities
and challenges of creating, contributing to, and using a global,
collaborative, open-domain, multilingual knowledge graph such as Wikidata.
We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem, or enabled by it. What we’re less
interested in are works which use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools and
practices.
We also encourage submissions on the topic of Abstract Wikipedia,
particularly around collaborative code management, natural language
generation by a community, the abstract representation of knowledge, and
the interaction between Abstract Wikipedia and Wikidata on the one, and
Abstract Wikipedia and the language Wikipedias on the other side.
We welcome interdisciplinary work, as well as interesting applications
which shed light on the benefits of Wikidata and discuss areas of
improvement.
The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than frontal
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. We are considering online options
in response to ongoing challenges such as travel restrictions and the
recent Covid-19 pandemic.

== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects in Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots and datasets for improving or evaluating Wikidata
- Participation, diversity and inclusivity aspects in the Wikidata ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata
- Abstract Wikipedia

== Submission guidelines ==

We welcome the following types of contributions:
- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resource directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.
The papers will be peer-reviewed by at least two researchers. Accepted
papers will be published as open access papers on CEUR (we only publish to
CEUR if the authors agree to have their papers published).

Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidataworkshop2020

== Proceedings ==

The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).

== Organizing committee ==

- Lucie-Aimée Kaffee, University of Southampton
- Oana Tifrea-Marciuska, Bloomberg
- Elena Simperl, King’s College London
- Denny Vrandečić, Wikimedia Foundation

== Programme committee ==

- Dan Brickley, Google
- Andrew D. Gordon, Microsoft Research & University of Edinburgh
- Dennis Diefenbach, University 

[Wikidata] [CfP] Wikidata Workshop @ ISWC 2020

[Lucie Kaffee]

*The First Wikidata Workshop*

Co-located with the 19th International Conference on Semantic Web (ISWC
2020).
Date: To be announced (late October, early November)
The workshop will be held online, afternoon European time.

Website: https://wikidataworkshop.github.io/

== Important dates ==

Papers due: August 10, 2020
Notification of accepted papers: September 11, 2020
Camera-ready papers due: September 21, 2020
Workshop date: To be announced (end October/early November)

== Overview ==

Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.
In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.
The workshop seeks original contributions that address the opportunities
and challenges of creating, contributing to, and using a global,
collaborative, open-domain, multilingual knowledge graph such as Wikidata.
We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem, or enabled by it. What we’re less
interested in are works which use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools and
practices.
We welcome interdisciplinary work, as well as interesting applications
which shed light on the benefits of Wikidata and discuss areas of
improvement.
The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than frontal
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. We are considering online options
in response to ongoing challenges such as travel restrictions and the
recent Covid-19 pandemic.
== Topics ==

Topics of submissions include, but are not limited to:

- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects in Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots and datasets for improving or evaluating Wikidata
- Participation, diversity and inclusivity aspects in the Wikidata ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata

== Submission guidelines ==

We welcome the following types of contributions.

- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resource directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)

Submissions must be as PDF or HTML, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.
The papers will be peer-reviewed by at least two researchers. Accepted
papers will be published as open access papers on CEUR (we only publish to
CEUR if the authors agree to have their papers published).

Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidataworkshop2020

== Proceedings ==

The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).

== Organizing committee ==

- Lucie-Aimée Kaffee, University of Southampton
- Oana Tifrea-Marciuska, Bloomberg
- Elena Simperl, King’s College London
- Denny Vrandečić, Google AI

== Programme committee ==

- Lydia Pintscher, Wikidata, Wikimedia Deutschland
- Maria-Esther Vidal, TIB Hannover
- Miriam Redi, Wikimedia Foundation
- Edgar Meij, Bloomberg
- Simon Razniewski, Max Planck Institute for Informatics
- Alessandro Piscopo, BBC
- Pavlos Vougiouklis, Huawei Technologies, Edinburgh
- Marco Ponza, University of Pisa
- Markus Krötzsch, Technische Universität Dresden
- Andrew D. Gordon, Microsoft Research & University of Edinburgh
- 

[Wikidata] Research and Wikipedia/Wikimedia event in London, 08. February

[Lucie Kaffee]

Hello everyone!

We are organizing an event for Research and Wikimedia to exchange about
research done in the field and for researchers and Wikimedia community
members to work together on new ideas. The idea derived from the fact that
many researchers reusing Wikipedia, Wikidata and their sister projects
often are not yet integrated with the community. This makes their work a
lot more difficult than necessary. At the same time, many research projects
are useful for the community, but not yet integrated into Wikipedia and co.
We want to change this and facilitate the exchange between researchers and
Wikimedia community members in an event, where we bring people interested
in similar topics together. If you are either doing research in the
Wikipedia space or are a community member of one of the Wikimedia projects,
please come by on the 8th of February. More details below.
Please spread the event invitation in your communities!

Best,
Lucie

https://www.eventbrite.com/e/research-and-wikimedia-tickets-90824421289

*Description*
We are organizing an event for Wikimedians and researchers to exchange!
Come along and learn more about research happening around Wikimedia and
what Wikimedians can teach you about the different Wikimedia projects!
A large part of the computer science research community is exploring
Wikipedia, Wikidata and their sister projects. In the fields of natural
language processing (NLP) as well as semantic web, Wikipedia and Wikidata
are often used as a fundamental part of the research world. At the same
time, the community of Wikidata and Wikipedia could make use of a variety
of tools developed by researchers. However, currently, the gap between
things explored in research and actual applications in Wikidata and
Wikipedia needs bridging. Therefore, we want to build a community of
Wikidata community members and research to exchange needs, existing tools,
open challenges and research question to foster an environment, where both
communities can benefit from the exchange.
The ideal is to have all the different approaches and commonalities under
one umbrella to foster exchange and support of different research
communities and their approaches.
OpenSym and the WikiWorkshop are already doing that for the people
submitting to and attending computer science research conferences. But
without the exchange with the community, there is a lack of communication,
creating silos of missing exchange.

*The Goal is*
to connect the researcher and the Wikimedia community to enable an exchange
that could ultimately lead to the research projects being implemented as
tools for Wikipedia. And vice-versa: More research projects build on
community needs.

*We invite*
*Researchers*
Anyone who does or is planning to do research on or around Wikimedia
projects, such as Wikipedia, Wikidata and others.
*Wikimedians*
Anyone in the community, who is interested in improving the research
happening around Wikimedia - you don’t need any experience in research.
Wikipedia editor, Wikidata data magician, whatever you do in Wikimedia
projects, your feedback will be highly valuable.

*What we need from you*
We would ask all researchers to bring an A2/A3 poster about what they are
doing in Wikimedia that we can put up so that we can create an easy way to
exchange on different projects. If you don’t have a project yet, don’t
worry- just bring a poster with topics you find interesting, and you might
be able to meet other researchers already working in your field of
interest. (If you struggle with printing the poster beforehand, please
reach out to us a few days in advance.)

*Event*
We will spend a day exchanging on recent challenges around Wikimedia.
Besides the posters, we aim to form working groups for the afternoon to
work on topics of shared interest and possibly propose a project of common
interest.

-- 
Lucie-Aimée Kaffee
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[Wikidata] Looking for a senior full-stack developer (Contractor) for Scribe (Wikimedia-funded project)

[Lucie Kaffee]

Hello everyone,

We are looking for a senior full-stack developer to work with us as a
contractor on Scribe.

Scribe is a Wikimedia Foundation funded software and research project. We
are building a tool to support newcomer Wikipedia editors in creating new
articles in under-resourced languages (e.g. Arabic, Hindi). The project is
open-source and will be integrated on low-resource Wikipedias so you will
be working on a great cause of making knowledge accessible to everyone.
Plus your work will have great visibility and impact on the community.

*You:*
We are looking for a senior software engineer contractor to realize the
Scribe project in a part-time position for 9 months starting on the 14th of
October.
You will work remotely with us. We are looking for someone with *3+ years
of experience in Full-stack development and community-focused applications*.

*Your future team:*
The project leads are Lucie and Hady, researchers in Computer Science. So
you will be part of our three-person team and able to influence the project
itself.
Lucie is a PhD researcher at the University of Southampton and TIB
Hannover. She previously worked at Wikimedia Germany. Hady holds a PhD in
Natural Language Processing and Machine Learning and currently works as a
researcher in Naver Labs Europe. We live in France and Germany/UK
respectively, so we are used to working remotely and effective
communication.

*How to apply: *
*Make sure to read the full job description here:*
https://meta.wikimedia.org/wiki/Scribe/Job

Then drop us an email (scribe.wikime...@gmail.com) showing your interest in
the project with your *CV* and *portfolio attached*.
We also appreciate *any other kind of information in any format* that shows
your relevant experience, creativity and problem-solving skills.

Note: Interviews will be scheduled on a first come first served basis until
the position gets filled, so please consider to submit your profile as soon
as possible.

Looking forward to hearing from you,
Lucie-Aimée Kaffee and Hady Elsahar

-- 
Lucie-Aimée Kaffee
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[Wikidata] Supporting editors in creating new articles with references

[Lucie Kaffee]

Hello everyone!

We are working on the project Scribe http://tinyurl.com/WikipediaScribe that
aims to support editors in creating new, high-quality articles with a focus
on currently under-resourced Wikipedia communities. To start this project,
I would like to ask you for two favours:

(1) We have a 5-minute survey, that we would like you to fill to give us an
insight into your opinions on the project. The survey can be found here:
http://tinyurl.com/WikipediaScribeSurvey

(2) We are conducting a set of interviews with editors of different
Wikipedias to gain an understanding of how you are currently edit, find
references etc. The interviews are conducted remotely via Skype and take
around 30 minutes. We would talk about your editing and referencing in
Wikipedia. Please contact me if you are available to participate in one of
our interviews, it would be highly appreciated! You can also sign up for
the interview in our sheet here: https://forms.gle/rwRpKH1EqJGM423Y6
More information about the interviews can be found in the participant
information sheet:
https://github.com/luciekaffee/Scribe/blob/master/Interviews/participant-information.md

I am very much looking forward to the start of the project and supporting a
new great editing experience!
If you have any other questions, please feel free to reach out to me.
Thanks,
Lucie
-- 
Lucie-Aimée Kaffee
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[Wikidata] Scribe: A project to support under-resourced Wikipedia editors

[Lucie Kaffee]

Hello everyone,

One of the main problems of under-resourced Wikipedias is the lack of
content in their languages. We want to tackle this problem by supporting
editors in creating more content in their languages easily.

We are working on a tool to support editors in creating new articles. The
editing tool (Scribe) will display a structure of the new article and
references (with their most important points) for each section, supported
by the information on Wikidata. The project is based on recent research in
document planning, reference discovery and collection, and document
summarization. One of the emphasizes of our project is to keep the
community involved in every step of the development to ensure that we are
serving their needs.

We are currently applying for a Wikimedia project grant and would like to
hear your feedback:
https://meta.wikimedia.org/wiki/Grants:Project/Scribe:_Supporting_Under-resourced_Wikipedia_Editors_in_Creating_New_Articles


Looking forward to hearing from you!
Best,
Lucie

-- 
Lucie-Aimée Kaffee
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[Wikidata] Wikidata Meetup in London

[Lucie Kaffee]

Hello everyone,

I am very excited to announce that we are organizing the first Wikidata
meetup in London on 7th of November, slightly belated to Wikidata's
birthday.

The overview:

* When? Wednesday, November 7th, starting at 18:00
* Where? Wikimedia UK office, 5-11 Lavington St, London SE1 0NZ
* Who? Everyone interested in Wikidata and open data
* What? Informal meetup, but if you are interested in editing that evening,
be sure to bring your computer, there is always someone around who is happy
to give an introduction!

Registration for the event is here:
https://www.eventbrite.com/e/wikidata-meetup-tickets-51708402223
Slightly more information can be found here:
https://www.wikidata.org/wiki/Wikidata:Sixth_Birthday/Wikidata_Meetup_London

Looking forward to seeing you all!

Cheers,
Lucie [[User:Frimelle]]
-- 
Lucie-Aimée Kaffee
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Re: [Wikidata] Machine translation efforts for underserved languages

[Lucie Kaffee]

Hello Olya and everyone,

Very interesting project!
I am working on underserved languages in Wikipedia as well, mainly as part
of my research. In our most recent work we experimented with generating
Wikipedia summaries from Wikidata facts in underserved languages, which
worked quite well [1][2]. The idea was based on the ArticlePlaceholder [3]
that display Wikidata triples on Wikipedia dynamically.
Learning from existing Wikipedia articles in the language has the advantage
that we can keep cultural and linguistic  attributes as they are. Which is
similar to a human-in-the-loop approach as you suggest.
While no humans are needed for our summary generation, one of the main
drawbacks is that currently it is just one single introductory sentence. We
are planning on experimenting extending this with a project at the end of
the year.
I am always happy to discuss these topics more and would be interested if
there is something in our approach that is helpful for you and vice versa!

All the best,
Lucie


[1] preprint:
https://2018.eswc-conferences.org/wp-content/uploads/2018/02/ESWC2018_paper_131.pdf
[2] https://arxiv.org/pdf/1803.07116.pdf
[3] https://www.mediawiki.org/wiki/Extension:ArticlePlaceholder

On 18 June 2018 at 10:43, Gerard Meijssen  wrote:

> Hoi,
> There is no explicit link between the data and the lexicographic data. As
> a consequence it will not be easy to make use of the existing labels for
> automated translation servies. This has been an explicit architectural
> decision..
>
> For me it will be interesting to learn how these links will be realised
> and how existing differences will be reconciled and how this will impact
> services like translation services.
> Thanks,
>  GerardM
>
> On 18 June 2018 at 08:52, Info WorldUniversity  worlduniversityandschool.org> wrote:
>
>> HI Irene, Wikibabel, Gerd, and Wikidatans,
>>
>> How does Wikidata's new lexicographical project work with regard to
>> Swahili (since it is a Wikipedia / Wikidata language) and Google Translate
>> / GNMT re your "Our approach leverages Google Translate
>>  to make English Wikipedia
>> articles accessible to underserved communities" (re:
>> https://medium.com/@oirzak/wikibabel-equalizing-information-
>> access-on-a-budget-4038f750e90e)?
>>
>> Will a Wikibabel team you help create add Swahili lexemes to the
>> lexicographical project - https://www.wikidata.org/wiki/
>> Wikidata:Lexicographical_data - and then Google GNMT - which is
>> end-to-end translation software ... https://1.bp.blogspot.com/
>> -jwgtcgkgG2o/WDSBrwu9jeI/BbM/2Eobq-N9_nYeAdeH-sB_
>> NZGbhyoSWgReACLcB/s1600/image01.gif (https://ai.googleblog.com/201
>> 6/11/zero-shot-translation-with-googles.html) - use this new Swahili
>> lexicographical data by processing this through its algorithms?
>>
>> (WUaS seeks to facilitate machine translation in all 7097 living
>> languages, and by growing out of Google GNMT; WUaS donated itself for
>> co-development to Wikidata in 2015).
>>
>> Cheers,
>> Scott
>>
>>
>>
>> On Sun, Jun 17, 2018 at 10:28 PM, Gerard Meijssen <
>> gerard.meijs...@gmail.com> wrote:
>>
>>> Hoi,
>>> I am giving a lot of attention to content that deals with Africa. At
>>> that I also target the Swahili wikipedia [1] (I have not filled in all the
>>> red links yet). At this moment I am adding information in Wikidata about
>>> Tanzanian wards based on sw.wikipedia categories and templates.
>>>
>>> Many of the African language Wikipedias are struggling. By making the
>>> lists as complete as possible based on categories and lists, the
>>> information becomes more useful and better, it can be and is used in the
>>> same manner on multiple Wikipedias. At this moment zu yo en sw Wikipedia.
>>> As the information is made available using Listeria lists, the information
>>> gets updated as and when new information becomes available.
>>>
>>> Another notion of mine is that it will help with individual info boxes
>>> eg for politicians, or indeed Tanzanian wards .. :)
>>>
>>> NB I am a big fan of providing information using machine translation.
>>> However, PLEASE consider the lessons learned from the Cebuano Wikipedia and
>>> make the texts available in a cached way; not in the final form as saved
>>> text.
>>> Thanks,
>>>   GerardM
>>>
>>> PS when there is something where we can collaborate, please let me know.
>>>
>>>
>>> [1] https://sw.wikipedia.org/wiki/Mtumiaji:GerardM
>>>
>>> On 18 June 2018 at 01:12, Olya Irzak  wrote:
>>>
 Dear Wikidata community,

 We're working on a project called Wikibabel to machine-translate parts
 of Wikipedia into underserved languages, starting with Swahili.

 In hopes that some of our ideas can be helpful to machine translation
 projects, we wrote a blogpost about how we prioritized which pages to
 translate, and what categories need a human in the loop:
 https://medium.com/@oirzak/wikibabel-equalizing-information-
 

[Wikidata] Creating a truthy nt dump

[Lucie Kaffee]

Hey,

I recently wanted to set up an enpoint and realised there is no truthy
triple dump so far. I opened a ticket on phabricator.
https://phabricator.wikimedia.org/T155103
Is there a general interest to have such a dump? Is there anyone else who
could use it and/or would feel responsible to set it up?

Cheers,

Lucie

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Re: [Wikidata] Info box proposal

[Lucie Kaffee]

Charlie wrote her thesis on how you could integrate Wikidata in Wikipedia,
specifically on Infoboxes, so that might be worth a look when it comes to
this topic, too.
So there is research from the UX perspective and how it'd be able to edit
etc available.
https://commons.wikimedia.org/wiki/File:Facilitating_the_use_of_Wikidata_in_Wikimedia_projects_with_a_user-centered_design_approach.pdf

On Wed, Aug 3, 2016 at 1:44 PM, Yuri Astrakhan 
wrote:

> Erika, would building a better wikidata UI help alleviate your concern?
> For example, it used to be that to add a link to the same article in
> another language, one had to edit raw wiki markup and add a weird language
> link. Now with wikidata it is by far more intuitive, with an edit button
> right next to the list, with an auto-complete and language selector. Could
> we try to build something similar for the infoboxes?
>
> On Aug 3, 2016 2:31 PM, "Brill Lyle"  wrote:
>
>> Saw this posted on Twitter.
>>
>> https://meta.wikimedia.org/wiki/Grants:Project/Putnik/Wikidata_module
>>
>> This proposal is my greatest fear with Wikidata. Depreciate Infoboxes to
>> Wikidata so casual Wikipedia editors can't edit on Wiki, are forced to use
>> Wikidata (comparable to existing Authority Control depreciation). Huge
>> barrier for Wikipedia end-users.
>>
>> Before I voice my concerns on this Grant page, I wondered if the end-user
>> issue has been discussed here -- and if this could be explained why it is
>> such a good idea? And what user issues have been and could be addressed
>> before the project is implemented.
>>
>> I understand something like this is part of Russian Wikipedia. How did
>> that community respond to this what I see as significant change?
>>
>> - Erika
>>
>>
>> ___
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>>
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Re: [Wikidata] [Wikimedia-l] ArticlePlaceholder now live on first 4 Wikipedias

[Lucie Kaffee]

On May 12, 2016 10:14, "Jo"  wrote:
>
> I tried it and it looks OK. When I do "create article", I get an empty
page though. I had sort of expected a pre-filled template/placeholder to
expand upon in edit mode as well.

Working on that one! It needs some discussion of what to prefill but I'll
look into that in the next days and weeks.

The inclusion in the search results is indeed not working at the moment
btw- Marius is already working on enabling the feature.

Thank you everyone for your feedback already!
I couldn't be happier to be at this point :)

Lucie (Frimelle)
>
> Polyglot
>
> 2016-05-12 7:45 GMT+02:00 Biyanto Rebin :
>>
>> Yeay,
>>
>> Goodluck for Wikidata Team. Looking forward for Indonesian regional
language version :)
>>
>> Regards,
>>
>> 2016-05-12 2:48 GMT+07:00 Lydia Pintscher :
>>>
>>> Hi everyone :)
>>>
>>> Last year Lucie started working on the ArticlePlaceholder (
>>> https://www.mediawiki.org/wiki/Extension:ArticlePlaceholder) in order to
>>> fullfill Wikidata's promise of supporting especially the smaller
>>> Wikipedias. Today we have rolled it out on the first 4 Wikipedias:
>>> Esperanto, Haitian Creole, Neapolitan and Odia. When someone searches
for a
>>> topic where no local article exists but Wikidata has data we will show
an
>>> ArticlePlaceholder with this information and encourage the reader to
create
>>> an article. I hope this will help these Wikipedias by offering their
>>> readers more content and by turning more of them into active editors.
>>>
>>> In order for the feature to work well we need labels for items and
>>> properties in these languages on Wikidata. A lot exist already but if
you
>>> want to help out you can find items and properties that need labels in
>>> these languages at https://tools.wmflabs.org/wikidata-terminator and
>>> https://www.wikidata.org/wiki/Special:ListProperties.
>>>
>>> What we rolled out today as usual is a first version. Based on the
feedback
>>> from those 4 Wikipedias we will expand and improve it. One of the next
>>> things we will do is add the option to translate an article from another
>>> language if it exists using the Content Translation tool and fix known
>>> bugs. Things we know are still broken or need work:
>>> * language fallbacks in the properties are not working so you will see a
>>> lot of P1234 and so on until a label is added on Wikidata in that
language
>>> * long identifiers break out of the identifier box on the right side and
>>> don't look good
>>> * right now you only get an ArticlePlaceholder in the search results
when
>>> Wikidata has at least 3 links to other Wikimedia projects and 3
statements.
>>> We might need to tweak this number still based on feedback from the
first
>>> Wikipedias. We limit this in order to not encourage readers to create an
>>> article that will be deleted right after they created it because it
isn't
>>> notable.
>>>
>>> Here are some example pages:
>>> * Odia:
>>>
https://or.wikipedia.org/wiki/%E0%AC%AC%E0%AC%BF%E0%AC%B6%E0%AD%87%E0%AC%B7:AboutTopic?entityid=Q131074
>>> * Napolitan:
>>>
https://nap.wikipedia.org/wiki/Speci%C3%A0le:AboutTopic?entityid=Q2613697
>>> * Esperanto:
>>> https://eo.wikipedia.org/wiki/Speciala%C4%B5o:AboutTopic?entityid=Q12345
>>> * Haitian Creole:
>>> https://ht.wikipedia.org/wiki/Espesyal:AboutTopic?entityid=Q12345
>>>
>>> I'm really excited about making true on one of Wikidata's biggest
promises.
>>>
>>> Cheers
>>> Lydia
>>> --
>>> Lydia Pintscher - http://about.me/lydia.pintscher
>>> Product Manager for Wikidata
>>>
>>> Wikimedia Deutschland e.V.
>>> Tempelhofer Ufer 23-24
>>> 10963 Berlin
>>> www.wikimedia.de
>>>
>>> Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
>>>
>>> Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg
unter
>>> der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für
>>> Körperschaften I Berlin, Steuernummer 27/029/42207.
>>> ___
>>> Wikimedia-l mailing list, guidelines at:
https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines
>>> New messages to: wikimedi...@lists.wikimedia.org
>>> Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l,

>>
>>
>>
>>
>> --
>>
>> Biyanto Rebin | Ketua Umum (Chair) 2016-2018
>> Wikimedia Indonesia
>> Nomor Ponsel: +62 8989 037379
>> Surel: biyanto.re...@wikimedia.or.id
>> 
>>
>> Dukung upaya kami membebaskan pengetahuan:
http://wikimedia.or.id/wiki/Wikimedia_Indonesia:Donasi
>>
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>
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Re: [Wikidata] Deployment date for the ArticlePlaceholder extension

[Lucie Kaffee]

Thanks for posting the discussion on Neapolitan Wikipedia!

I am very much looking forward to see the ArticlePlaceholder actually come
to life :)

Lucie

On Sun, May 1, 2016 at 9:51 PM, Luca Martinelli <martinellil...@gmail.com>
wrote:

> Here's the discussion for Neapolitan wikipedia:
> https://nap.wikipedia.org/wiki/Wikipedia:C%C3%ACrculo#Article_placeholder
>
> L.
>
> 2016-05-01 18:57 GMT+02:00 Lydia Pintscher <lydia.pintsc...@wikimedia.de>:
> > On Tue, Apr 12, 2016 at 5:20 PM Lucie Kaffee <lucie.kaf...@wikimedia.de>
> > wrote:
> >>
> >> Hey everyone,
> >>
> >> We are working on making the ArticlePlaceholder extension ready for
> >> deployment now.
> >> We hope to deploy the extension on 2016-05-11.
> >>
> >> Until then, it would be great if you can help us out, especially if you
> >> speak the languages we are deploying to.
> >>
> >> It would be necessary to have the properties on Wikidata translated as
> one
> >> of the most important steps before the actual deployment.
> >> https://www.wikidata.org/wiki/Wikidata:List_of_properties
> >>
> >> https://tools.wmflabs.org/wikidata-terminator/ has a list of the most
> used
> >> items with missing labels  and descriptions. In order for the extension
> to
> >> actually be useful it is necessary is to translate the labels and
> >> descriptions of items - this help would be greatly appreciated!
> >>
> >> It would be a great help for Wikidata as a project as well as an
> advantage
> >> for the ArticlePlaceholder.
> >>
> >>
> >> Currently deployment is planned on:
> >>
> >> - Esperanto Wikipedia
> >>
> https://eo.wikipedia.org/wiki/Vikipedio:Diskutejo/Teknikejo#Anstata.C5.ADigilo_de_neekzistantaj_artikoloj
> >>
> >> - Haitian Creole
> >> https://ht.wikipedia.org/wiki/Wikipedya:Kafe#Article_placeholder
> >>
> >> - Oriya Wikipedia
> >>
> https://or.wikipedia.org/wiki/%E0%AC%89%E0%AC%87%E0%AC%95%E0%AC%BF%E0%AC%AA%E0%AC%BF%E0%AC%A1%E0%AC%BC%E0%AC%BF%E0%AC%86:%E0%AC%86%E0%AC%B2%E0%AD%8B%E0%AC%9A%E0%AC%A8%E0%AC%BE_%E0%AC%B8%E0%AC%AD%E0%AC%BE#Article_Placeholder
> >>
> >> - Gujarati Wikipedia
> >>
> >> - Neapolitan Wikipedia
> >>
> >> - Asturian Wikipedia
> >>
> >>
> >>
> >> I am very much looking forward to this important step!
> >>
> >> Thank you all very much,
> >>
> >> Lucie (Frimelle)
> >
> >
> >
> > Hey folks :)
> >
> > Just a quick reminder that we're getting closer to the first deployments
> of
> > the ArticlePlaceholder. If you speak one of the languages above or know
> > someone who does please help get it in good shape over the next 10 days.
> >
> >
> > Cheers
> > Lydia
> > --
> > Lydia Pintscher - http://about.me/lydia.pintscher
> > Product Manager for Wikidata
> >
> > Wikimedia Deutschland e.V.
> > Tempelhofer Ufer 23-24
> > 10963 Berlin
> > www.wikimedia.de
> >
> > Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
> >
> > Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg
> unter
> > der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für
> > Körperschaften I Berlin, Steuernummer 27/029/42207.
> >
> > ___
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> > Wikidata@lists.wikimedia.org
> > https://lists.wikimedia.org/mailman/listinfo/wikidata
> >
>
>
>
> --
> Luca "Sannita" Martinelli
> http://it.wikipedia.org/wiki/Utente:Sannita
>
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Re: [Wikidata] Date of birth and name correlations

[Lucie Kaffee]

Vaguely related: The full list of items "different from" (P1889) another
item sure does give an interesting read though.


*http://tinyurl.com/h23q2et *

On Sat, Apr 16, 2016 at 12:38 PM, Andrew Gray 
wrote:

> Hi Stas (and all),
>
> Thanks - that query looks very much like what I was wondering about.
> "Confirmed to be different" was intended as "we're sure they are two
> different people, not just a Wikidata artifact that hasn't been merged
> yet". Use of P1889 would seem a pretty good way to confirm that,
> though as you say there aren't many yet.
>
> The two Sanjays look like a fairly good example of a confident mismatch.
>
> Andrew.
>
>
>
> On 15 April 2016 at 19:21, Stas Malyshev  wrote:
> > Hi!
> >
> >> I'm curious to know how many cases we have where two people share both
> >> a name and a birthdate *but are confirmed to be different people*. I
> >
> > I'm not sure how you specify "confirmed to be different", but otherwise
> > this query might do:
> >
> > http://tinyurl.com/jjpnhuo
> >
> > It shows each pair twice (because I'm lazy :) and I have no idea if they
> > are same person of different - short of explicit usage of P1889 which
> > almost never happens I don't think there's a good generic way.
> >
> > One pair that seems to be different is:
> >
> > https://www.wikidata.org/wiki/Q644401
> > https://www.wikidata.org/wiki/Q510034
> >
> > but short of manual examination I see no way to know one way or another.
> > --
> > Stas Malyshev
> > smalys...@wikimedia.org
> >
> > ___
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>
>
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[Wikidata] Deployment date for the ArticlePlaceholder extension

[Lucie Kaffee]

Hey everyone,

We are working on making the ArticlePlaceholder extension ready for
deployment now.
We hope to deploy the extension on 2016-05-11.

Until then, it would be great if you can help us out, especially if you
speak the languages we are deploying to.

It would be necessary to have the properties on Wikidata translated as one
of the most important steps before the actual deployment.
https://www.wikidata.org/wiki/Wikidata:List_of_properties

https://tools.wmflabs.org/wikidata-terminator/ has a list of the most used
items with missing labels  and descriptions. In order for the extension to
actually be useful it is necessary is to translate the labels and
descriptions of items - this help would be greatly appreciated!

It would be a great help for Wikidata as a project as well as an advantage
for the ArticlePlaceholder.


Currently deployment is planned on:

- Esperanto Wikipedia
https://eo.wikipedia.org/wiki/Vikipedio:Diskutejo/Teknikejo#Anstata.C5.ADigilo_de_neekzistantaj_artikoloj

- Haitian Creole
https://ht.wikipedia.org/wiki/Wikipedya:Kafe#Article_placeholder

- Oriya Wikipedia
https://or.wikipedia.org/wiki/%E0%AC%89%E0%AC%87%E0%AC%95%E0%AC%BF%E0%AC%AA%E0%AC%BF%E0%AC%A1%E0%AC%BC%E0%AC%BF%E0%AC%86:%E0%AC%86%E0%AC%B2%E0%AD%8B%E0%AC%9A%E0%AC%A8%E0%AC%BE_%E0%AC%B8%E0%AC%AD%E0%AC%BE#Article_Placeholder

- Gujarati Wikipedia

- Neapolitan Wikipedia

- Asturian Wikipedia



I am very much looking forward to this important step!

Thank you all very much,

Lucie (Frimelle)

-- 
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Working Student Software Development

Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin
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That‘s our commitment.

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Re: [Wikidata] Bachelor's thesis on ArticlePlaceholder

[Lucie Kaffee]

Hey everyone,

Sorry for being late to the discussion and thank you very much for your
feedback. Many of the important questions were answered by Lydia already,
I'll try to cover what is left.

First of all, please keep in mind that this was a Bachelor's thesis and
therefore I was limited in the scope of the project as well as time wise. I
am happy about input, and there is a phabricator board for the further
development of the extension [1]

Luis- I haven't thought about a/b testing yet. It will be a beta feature in
the beginning as mentioned to collect feedback, but I tried to keep in mind
that especially in the beginning we speak about very small Wikipedias, and
collecting data about how many articles are created from the placeholders
over all will be the first step of testing how well they are accepted
beside the general feedback. This is planned [2]

The problem of the red links is rather broad but extremely interesting to
me. Sadly, it was out of the scope and the "smart red links" chapter mostly
exists to indicate that there are first approaches to include this topic
and there will be further work on this. But it does involve very well
planned work and more than just half a page of writing and discussion I
guess :)

The notability of items is another difficult topic. I chose the solution
discussed for now, because a) as Lydia said I don't wont encourage article
creation when not appropriate and b) there are many items on Wikidata, that
will not reach the criterias I chose for now. Displaying them anyway may
lead to disappointment with the content of the ArticlePlaceholder and
editors, that would actually want to create an article on the topic would
have to do more clicks than otherwise necessary, since the placeholders
can't show them much more information as an empty page in most of these
cases. Therefore we decided to filter those items out.

I can't say why there is not more input on the RfC about ordering of
statement groups but I hope you will agree on giving my approach a try. If
it's not the one wished by the communities and/or developers and we can
come up with a better one, I'll be open to change and adjust. But for now,
that seemed like a solution, that could be a first step in having ordered
statements.

Thank you very much again!

Lucie

[1] https://phabricator.wikimedia.org/tag/articleplaceholder/
[2] https://phabricator.wikimedia.org/T123087

On Tue, Apr 5, 2016 at 3:32 PM, Gerard Meijssen 
wrote:

> Hoi,
> Really, how? We have over 280 Wikipedias, we have Wikisources etc. How do
> you realistically think there would be something useful?
> Thanks,
>  GerardM
>
> On 5 April 2016 at 13:48, John Erling Blad  wrote:
>
>> First you say that the heuristic isn't perfect, then you say that "As
>> long as we don't have notability criteria in a machine readable format we
>> can only work with heuristics." and then "And I really don't believe
>> machine readable notability criteria is something we should strive for." If
>> the heuristic isn't perfect then alternatives should be investigated. There
>> are already machine readable notability criterias in there, the only thing
>> missing is exposing them, probably by using the existing relations.
>>
>> On Tue, Apr 5, 2016 at 11:32 AM, Lydia Pintscher <
>> lydia.pintsc...@wikimedia.de> wrote:
>>
>>> On Sun, Apr 3, 2016 at 4:28 PM John Erling Blad 
>>> wrote:
>>>
 Just read through the doc, and found some important points. I post each
 one in a separate mail.

 > Since it is hard to decide which content is actually notable, the
 items appear-
 > ing in the search should be limited to the ones having at least one
 statements
 > and two sitelinks to the same project (like Wikipedia or Wikivoyage).

 This is a good baseline, but figuring out what is notable locally is a
 bit more involved. A language is used in a local area, and within that area
 some items are more important just because they reside within the area.
 This is quite noticeable in the differences between nnwiki and nowiki which
 both basically covers "Norway". Also items that somehow relates to the
 local area or language is more noticeable than those outside those areas.
 By traversing upwords in the claims using the "part of" property it is
 possible to build a priority on the area involved. It is possible to
 traverse "nationality" and a few other properties.

 Things directly noticeable like an area enclosed in an area using the
 language is somewhat easy to identify, but things that are noticeable by
 association with another noticeable thing is not. Like a Danish slave ship
 operated by a Norwegian firm, the ship is thus noticeable in nowiki. I
 would say that all things linked as an item from other noticeable things
 should be included. Some would perhaps say that "items with second order
 relevance should be 

[Wikidata] Bachelor's thesis on ArticlePlaceholder

[Lucie Kaffee]

I wrote my Bachelor's thesis on "Generating Article Placeholders from
Wikidata for Wikipedia: Increasing Access to Free and Open Knowledge". The
thesis summarizes a lot of the work done on the ArticlePlaceholder
extension ( https://www.mediawiki.org/wiki/Extension:ArticlePlaceholder )

I uploaded the thesis to commons under a CC-BY-SA license- you can find it
at
https://commons.wikimedia.org/wiki/File:Generating_Article_Placeholders_from_Wikidata_for_Wikipedia_-_Increasing_Access_to_Free_and_Open_Knowledge.pdf

I continue working on the extension and aim to deploy it to the first
Wikipedias, that are interested, in the next months.

I am happy to answer questions related to the extension!

Lucie (Frimelle)
-- 
Lucie-Aimée Kaffee
Working Student Software Development

Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0)30 219 158 26-0http://wikimedia.de

Imagine a world in which every single human being can freely share in
the sum of all knowledge.
That‘s our commitment.

Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg
unter der Nummer 23855 B.
Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin,
Steuernummer 27/029/42207.
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Re: [Wikidata] Looking for small Wikipedias to test a new feature

[Lucie Kaffee]

Hey Jane,

First of all: Thanks :)
Yes, it works for any item, so for paintings, too. We would have to look
into limiting it to certain items though if we want to enable it purely to
paintings or we just don't add it to the search and make it only
discoverable on the special page and in links? So there are certainly
possibilities!

Cheers,

Lucie

2016-01-20 16:46 GMT+01:00 Jane Darnell <jane...@gmail.com>:

> Lucie, that looks great! Will it work for paintings? If so I would be
> interested in using it for both the English Wikipedia and on Commons for
> use with catalogs of paintings. On English Wikipedia I provide a link to
> the Wikidata item for the painting, but I think directing the user to the
> article placeholder would be more user friendly.
> See for example here (with item numbers):
> https://en.wikipedia.org/wiki/List_of_paintings_by_Rembrandt
> and here (without item numbers)
> https://en.wikipedia.org/wiki/List_of_paintings_by_Adriaen_Coorte
>
> On Wed, Jan 20, 2016 at 2:58 PM, Lucie Kaffee <lucie.kaf...@wikimedia.de>
> wrote:
>
>> As part of my Bachelor’s thesis I worked on an extension called
>> “ArticlePlaceholder”
>> https://www.mediawiki.org/wiki/Extension:ArticlePlaceholder over the
>> last months.
>>
>> One of the biggest barriers for accessing the knowledge Wikipedia
>> provides is language.
>>
>> There are many topics that are only covered in few, big Wikipedias.
>> People who don’t speak any of these languages don’t have access to all the
>> information available potentially vital to them.
>>
>> The Article Placeholder extensions aims at smaller Wikipedias to support
>> them in increasing access to data available on Wikidata. Article
>> Placeholders are automatically generated content pages in Wikipedia or
>> other mediawiki projects displaying data from Wikidata. They are clearly
>> not actual articles but an overview of data on a topic which does not have
>> an article yet. The design of the page and its content is under the control
>> of the local community via Lua and templates but we will provide defaults
>> so smaller Wikipedias can work with them without having to worry about the
>> technical side of it.
>>
>> I have a test setup on Labs with an example for Ada Lovelace
>> http://articleplaceholder.wmflabs.org/mediawiki/index.php/Special:AboutTopic/Q3
>>
>> The reader can find these pages by searching for a topic and gets results
>> if there is an Item on Wikidata with the respective label and/or alias.
>>
>> The reader would benefit a lot since even if there is no article on a
>> topic yet, they will still have basic information provided in their
>> language. But it also might increase the numbers of editors due to
>> increased usefulness of that Wikipedia.
>>
>> We are now looking for the first Wikipedias to support the extension by
>> deploying it and giving their input. I am still developing the extension
>> and the first Wikipedias to try it will naturally have a larger say in how
>> it evolves.
>>
>> If your Wikipedia would like to give it a try please let me know. We
>> would start it as a beta feature.
>>
>> Thank you,
>>
>> Lucie (Frimelle)
>>
>> --
>> Lucie-Aimée Kaffee
>> Working Student Software Development
>>
>> Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin
>> Phone: +49 (0)30 219 158 26-0http://wikimedia.de
>>
>> Imagine a world in which every single human being can freely share in the 
>> sum of all knowledge.
>> That‘s our commitment.
>>
>> Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
>> Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter 
>> der Nummer 23855 B.
>> Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin,
>> Steuernummer 27/029/42207.
>>
>>
>>
>>
>>
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-- 
Lucie-Aimée Kaffee
Working Student Software Development

Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0)30 219 158 26-0http://wikimedia.de

Imagine a world in which every single human being can freely share in
the sum of all knowledge.
That‘s our commitment.

Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg
unter der Nummer 23855 B.
Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin,
Steuernummer 27/029/42207.
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[Wikidata] Merging items creates redirect now

[Lucie Kaffee]

Hey!

tl;dr after the next deploy merging two items creates a redirect, merge
gadget (and every tool with a similar functionality) needs to be adjusted
to the new functionality

There was a change to the functionality of merging items. Whenever you
merge two items a redirect will be automatically created.
If you merge via the special page nothing changed - except for the item,
that is merged into another item now also redirects to that item.
The same goes for the API except for using 'ignoreconflicts'- when the item
is not left empty after the merge it won't be a redirect and still be there
as before without the data that got merged into the other item. (So it will
only have the data that would have given a merge conflict.)

Last but not least: The merge gadget will need some adjusting. That's
expected since the functionality changed.
Please keep that in mind if you have any tool, that merges items.

Cheers,

Lucie

-- 
Lucie-Aimée Kaffee
Working Student Software Development

Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0)30 219 158 26-0http://wikimedia.de

Imagine a world, in which every single human being can freely share in
the sum of all knowledge.
That‘s our commitment.

Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg
unter der Nummer 23855 B.
Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin,
Steuernummer 27/681/51985.
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Re: [Wikidata-l] Tree Of Life

[Lucie Kaffee]

2014-12-19 14:25 GMT+01:00 Gregor Hagedorn gregor.haged...@mfn-berlin.de:

  may be wrong) a mashup-error occurring when uncritically combining data
 from
  different sources, each source being internally consistent and correct.
 This
  may be something that needs to be addressed by the tool.

 Good point, yes. Any ideas how?


 Perhaps just help understanding this better, by displaying the sources for
 the relations shown


  The problem with different labels and singular/plural may or may not be
 a
  tool problem in choosing the correct label

 It just takes the label of the item. There is a taxon name property.
 Would that be a useful alternative? Input from the experts needed.


 That seems helpful. One way would be to always show taxon name first,
 followed by the - at the moment perhaps inconsistent - language label in
 Parentheses


I will have a look at this, but it shouldn't be a big issue to change this!



 Right. It shows the Wikipedia article if there is one in the language
 you selected and otherwise Wikidata. Better to always show Wikidata?


 perhaps iframe with the mobile-view as it is PLUS 2 normal (quick-) links
 below, allowing to open the normal-view pages to conveniently analyse/ read
 etc.

 ... not sure. Situation at the moment is that when I tried to understand
 the source of the mashup error, I could not do it with the information or
 links displays


Links to wikidata and wikipedia shouldn't be a problem either. I will have
a look into that the next days! Would that help for the first point, too?


 thanks again


Very welcome! Thank you for your comments :)

Lucie

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[Wikidata-l] Tree Of Life

[Lucie Kaffee]

Hey,

Since the Tree of Life by Denny is outdated, we thought it was a nice idea,
to have a new one, to have an overview over the biological taxonomy on
wikidata. Not only to have a nice looking tree but also to see, where
errors are and to correct and update it.  Right now, there are 660775 Items
in the tree.
Even though the change of names can be seen instantly, because this is
based on the API, changes in the order need an update of the whole tree,
because it's based on wikidata dumps. (This one on the most recent one from
15.12.2014)

Here you go, this is the new tree of life, made with a lot of love:
https://tools.wmflabs.org/tree-of-life/

If you have any corrections, additions or features you want to add, feel
free to ping me, send me a mail, submit a patch or file an issue on github.
The repo for the tree is on https://github.com/frimelle/tree-of-life

Cheers,

Lucie (frimelle)
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