==== *Final* Call for Challenge: 2nd Linked Open Data-enabled Recommender Systems Challenge====

2015-03-20 Thread Matthew Rowe
 or bundle 
recommendations for items from multiple domains, e.g. a movie 
accompanied by a music album similar to the soundtrack of the movie. 
These relations may not be extracted from rating correlations within a 
joined movie-music rating matrix.
In this task, we will request participants to exploit user preferences 
and domain knowledge about movies, in order to provide book recommendations.
Making this task highly challenging, we will provide the list of books 
available in the test set, but we will provide little information about 
the users’ book preferences. Thus, we encourage not (only) to use 
collaborative filtering strategies based on correlations between movie 
and book preferences, but to investigate approaches that exploit LOD 
relating both movies and books domains.


JUDGING AND PRIZES
After a first round of reviews, the Program Committee and the chairs 
will select a number of submissions that will have to satisfy the 
challenge’s requirements, and will have to be presented at the 
conference. Submissions accepted for presentation will receive 
constructive reviews from the Program Committee, and will be included in 
post-proceedings. All accepted submissions will have a slot in a poster 
session dedicated to the challenge. In addition, the winners will 
present their work in a special slot of the main program of ESWC’15, and 
will be invited to submit a chapter to a post-proceedings book published 
by Springer (Communications in Computer and Information Science series).


For each task we will select:
* the best performing tool, given to the paper which will get the 
highest score in the evaluation
* the most original approach, selected by the Challenge Program 
Committee with the reviewing process


HOW TO PARTICIPATE
We invite the potential participants to subscribe to our mailing list in 
order to be kept up to date with the latest news related to the challenge.

lod-recsys-challenge-2...@googlegroups.com

* Make your result submission
- Register your group using the registration web form available at 
http://dee020.poliba.it:8181/eswc2014lodrecsys/signup.html.

- Choose one or more tasks among Task1, Task2 and Task3 (see Tasks).
- Build your Recommendation System using the training data described in 
section Dataset.
- Evaluate your approach by submitting your results using the evaluation 
service as described in section Evaluation.
- Your final score will be the one computed with respect to the last 
result submission made before March 25, 2015, 23:59 CET.


* Submit your paper
The following information has to be provided:
- Abstract: no more than 200 words.
- Description: It should contain the details of the system, including 
why the system is innovative, how it uses Semantic Web, which features 
or functions the system provides, what design choices were made, and 
what lessons were learned. The description should also summarize how 
participants have addressed the evaluation tasks and the results 
evaluation. Papers must be submitted in PDF format, following the style 
of the Springer’s Lecture Notes in Computer Science (LNCS) series 
(http://www.springer.com/computer/lncs/lncs+authors), and not exceeding 
12 pages in length.


All submissions should be provided via EasyChair 
https://www.easychair.org/conferences/?conf=eswc2015-challenges


IMPORTANT DATES
* Wednesday, March 25, 2015, 23:59 CET: Paper and Results Submission due
* Thursday, April 16, 2015, 23:59 CET: Notification of acceptance and 
submission of task results

* May 31- June 4, 2015: The Challenge takes place at ESWC-15


CHALLENGE CHAIRS
* Iván Cantador – Universidad Autónoma de Madrid, Spain
* Tommaso Di Noia – Polytechnic University of Bari, Italy
* Vito Claudio Ostuni – Pandora Media, Inc. USA
* Matthew Rowe – University of Lancaster, UK

PROGRAM COMMITTEE
* Roi Blanco, Yahoo! Labs, Barcelona, Spain
* Pablo Castells, Universidad Autónoma de Madrid, Spain
* Miriam Fernández, The Knowledge Media Institute, The Open University, UK
* Ignacio Fernández-Tobías, Universidad Autónoma de Madrid, Spain
* Frank Hopfgartner, Technische Universität Berlin, Germany
* Julia Hoxha, Columbia University, USA
* Dietmar Jannach, TU Dortmund University, Germany
* Pasquale Lops, University of Bari Aldo Moro, Italy
* Valentina Maccatrozzo, VU University Amsterdam, The Netherlands
* Alexandre Passant, Clarity.fm, USA
* Mariano Rico, Universidad Politécnica de Madrid, Spain
* Giovanni Semeraro, University of Bari Aldo Moro, Italy
* Manolis Wallace, University of Peloponnese, Greece
* Markus Zanker, Alpen-Adria-Universitaet Klagenfurt, Austria

TECHNICAL CHAIR
* Paolo Tomeo, Polytechnic University of Bari, Italy

ESWC CHALLENGE COORDINATORS
* Elena Cabrio, INRIA Sophia-Antipolis Méditerranée, France
* Milan Stankovic, Sépage  Université Paris-Sorbonne, France

--
Thanks
Matthew




==== 2nd Call for Challenge: 2nd Linked Open Data-enabled Recommender Systems Challenge====

2015-03-13 Thread Matthew Rowe
 or bundle 
recommendations for items from multiple domains, e.g. a movie 
accompanied by a music album similar to the soundtrack of the movie. 
These relations may not be extracted from rating correlations within a 
joined movie-music rating matrix.
In this task, we will request participants to exploit user preferences 
and domain knowledge about movies, in order to provide book recommendations.
Making this task highly challenging, we will provide the list of books 
available in the test set, but we will provide little information about 
the users’ book preferences. Thus, we encourage not (only) to use 
collaborative filtering strategies based on correlations between movie 
and book preferences, but to investigate approaches that exploit LOD 
relating both movies and books domains.


JUDGING AND PRIZES
After a first round of reviews, the Program Committee and the chairs 
will select a number of submissions that will have to satisfy the 
challenge’s requirements, and will have to be presented at the 
conference. Submissions accepted for presentation will receive 
constructive reviews from the Program Committee, and will be included in 
post-proceedings. All accepted submissions will have a slot in a poster 
session dedicated to the challenge. In addition, the winners will 
present their work in a special slot of the main program of ESWC’15, and 
will be invited to submit a chapter to a post-proceedings book published 
by Springer (Communications in Computer and Information Science series).


For each task we will select:
* the best performing tool, given to the paper which will get the 
highest score in the evaluation
* the most original approach, selected by the Challenge Program 
Committee with the reviewing process


HOW TO PARTICIPATE
We invite the potential participants to subscribe to our mailing list in 
order to be kept up to date with the latest news related to the challenge.

lod-recsys-challenge-2...@googlegroups.com

* Make your result submission
- Register your group using the registration web form available at 
http://dee020.poliba.it:8181/eswc2014lodrecsys/signup.html.

- Choose one or more tasks among Task1, Task2 and Task3 (see Tasks).
- Build your Recommendation System using the training data described in 
section Dataset.
- Evaluate your approach by submitting your results using the evaluation 
service as described in section Evaluation.
- Your final score will be the one computed with respect to the last 
result submission made before March 25, 2015, 23:59 CET.


* Submit your paper
The following information has to be provided:
- Abstract: no more than 200 words.
- Description: It should contain the details of the system, including 
why the system is innovative, how it uses Semantic Web, which features 
or functions the system provides, what design choices were made, and 
what lessons were learned. The description should also summarize how 
participants have addressed the evaluation tasks and the results 
evaluation. Papers must be submitted in PDF format, following the style 
of the Springer’s Lecture Notes in Computer Science (LNCS) series 
(http://www.springer.com/computer/lncs/lncs+authors), and not exceeding 
12 pages in length.


All submissions should be provided via EasyChair 
https://www.easychair.org/conferences/?conf=eswc2015-challenges


IMPORTANT DATES
* Wednesday, March 25, 2015, 23:59 CET: Paper and Results Submission due
* Thursday, April 16, 2015, 23:59 CET: Notification of acceptance and 
submission of task results

* May 31- June 4, 2015: The Challenge takes place at ESWC-15


CHALLENGE CHAIRS
* Iván Cantador – Universidad Autónoma de Madrid, Spain
* Tommaso Di Noia – Polytechnic University of Bari, Italy
* Vito Claudio Ostuni – Pandora Media, Inc. USA
* Matthew Rowe – University of Lancaster, UK

PROGRAM COMMITTEE
* Roi Blanco, Yahoo! Labs, Barcelona, Spain
* Pablo Castells, Universidad Autónoma de Madrid, Spain
* Miriam Fernández, The Knowledge Media Institute, The Open University, UK
* Ignacio Fernández-Tobías, Universidad Autónoma de Madrid, Spain
* Frank Hopfgartner, Technische Universität Berlin, Germany
* Julia Hoxha, Columbia University, USA
* Dietmar Jannach, TU Dortmund University, Germany
* Pasquale Lops, University of Bari Aldo Moro, Italy
* Valentina Maccatrozzo, VU University Amsterdam, The Netherlands
* Alexandre Passant, Clarity.fm, USA
* Mariano Rico, Universidad Politécnica de Madrid, Spain
* Giovanni Semeraro, University of Bari Aldo Moro, Italy
* Manolis Wallace, University of Peloponnese, Greece
* Markus Zanker, Alpen-Adria-Universitaet Klagenfurt, Austria

TECHNICAL CHAIR
* Paolo Tomeo, Polytechnic University of Bari, Italy

ESWC CHALLENGE COORDINATORS
* Elena Cabrio, INRIA Sophia-Antipolis Méditerranée, France
* Milan Stankovic, Sépage  Université Paris-Sorbonne, France

--
Thanks
Matthew




==== Call for Challenge: 2nd Linked Open Data-enabled Recommender Systems Challenge====

2015-03-02 Thread Matthew Rowe
 or bundle 
recommendations for items from multiple domains, e.g. a movie 
accompanied by a music album similar to the soundtrack of the movie. 
These relations may not be extracted from rating correlations within a 
joined movie-music rating matrix.
In this task, we will request participants to exploit user preferences 
and domain knowledge about movies, in order to provide book recommendations.
Making this task highly challenging, we will provide the list of books 
available in the test set, but we will provide little information about 
the users’ book preferences. Thus, we encourage not (only) to use 
collaborative filtering strategies based on correlations between movie 
and book preferences, but to investigate approaches that exploit LOD 
relating both movies and books domains.


JUDGING AND PRIZES
After a first round of reviews, the Program Committee and the chairs 
will select a number of submissions that will have to satisfy the 
challenge’s requirements, and will have to be presented at the 
conference. Submissions accepted for presentation will receive 
constructive reviews from the Program Committee, and will be included in 
post-proceedings. All accepted submissions will have a slot in a poster 
session dedicated to the challenge. In addition, the winners will 
present their work in a special slot of the main program of ESWC’15, and 
will be invited to submit a chapter to a post-proceedings book published 
by Springer (Communications in Computer and Information Science series).


For each task we will select:
* the best performing tool, given to the paper which will get the 
highest score in the evaluation
* the most original approach, selected by the Challenge Program 
Committee with the reviewing process


HOW TO PARTICIPATE
We invite the potential participants to subscribe to our mailing list in 
order to be kept up to date with the latest news related to the challenge.

lod-recsys-challenge-2...@googlegroups.com

* Make your result submission
- Register your group using the registration web form available at 
http://dee020.poliba.it:8181/eswc2014lodrecsys/signup.html.

- Choose one or more tasks among Task1, Task2 and Task3 (see Tasks).
- Build your Recommendation System using the training data described in 
section Dataset.
- Evaluate your approach by submitting your results using the evaluation 
service as described in section Evaluation.
- Your final score will be the one computed with respect to the last 
result submission made before March 25, 2015, 23:59 CET.


* Submit your paper
The following information has to be provided:
- Abstract: no more than 200 words.
- Description: It should contain the details of the system, including 
why the system is innovative, how it uses Semantic Web, which features 
or functions the system provides, what design choices were made, and 
what lessons were learned. The description should also summarize how 
participants have addressed the evaluation tasks and the results 
evaluation. Papers must be submitted in PDF format, following the style 
of the Springer’s Lecture Notes in Computer Science (LNCS) series 
(http://www.springer.com/computer/lncs/lncs+authors), and not exceeding 
12 pages in length.


All submissions should be provided via EasyChair 
https://www.easychair.org/conferences/?conf=eswc2015-challenges


IMPORTANT DATES
* Wednesday, March 25, 2015, 23:59 CET: Paper and Results Submission due
* Thursday, April 16, 2015, 23:59 CET: Notification of acceptance and 
submission of task results

* May 31- June 4, 2015: The Challenge takes place at ESWC-15


CHALLENGE CHAIRS
* Iván Cantador – Universidad Autónoma de Madrid, Spain
* Tommaso Di Noia – Polytechnic University of Bari, Italy
* Vito Claudio Ostuni – Pandora Media, Inc. USA
* Matthew Rowe – University of Lancaster, UK

PROGRAM COMMITTEE
* Roi Blanco, Yahoo! Labs, Barcelona, Spain
* Pablo Castells, Universidad Autónoma de Madrid, Spain
* Miriam Fernández, The Knowledge Media Institute, The Open University, UK
* Ignacio Fernández-Tobías, Universidad Autónoma de Madrid, Spain
* Frank Hopfgartner, Technische Universität Berlin, Germany
* Julia Hoxha, Columbia University, USA
* Dietmar Jannach, TU Dortmund University, Germany
* Pasquale Lops, University of Bari Aldo Moro, Italy
* Valentina Maccatrozzo, VU University Amsterdam, The Netherlands
* Alexandre Passant, Clarity.fm, USA
* Mariano Rico, Universidad Politécnica de Madrid, Spain
* Giovanni Semeraro, University of Bari Aldo Moro, Italy
* Manolis Wallace, University of Peloponnese, Greece
* Markus Zanker, Alpen-Adria-Universitaet Klagenfurt, Austria

TECHNICAL CHAIR
* Paolo Tomeo, Polytechnic University of Bari, Italy

ESWC CHALLENGE COORDINATORS
* Elena Cabrio, INRIA Sophia-Antipolis Méditerranée, France
* Milan Stankovic, Sépage  Université Paris-Sorbonne, France

--
Thanks
Matthew




Deadline Extension (5th June): IJSWIS -Special Issue on Special Issue on Visualisation of and Interaction with Semantic Web Data

2012-05-15 Thread Matthew Rowe
*** Deadline Extension: 5th June 2012 **



 Special Issue on Visualisation of and Interaction 
  with Semantic Web Data

   Special issue of the 
   International Journal on Semantic Web and Information Systems

   http://www.ijswis.org/?q=node%2F41




   Editors: Matthew Rowe, Aba-Sah Dadzie


ABOUT
--

Visualising and easing the interpretation of semantic web data is now one of 
the largest challenges facing the Semantic Web community. The growth of the Web 
of Linked Data has shifted research from being primarily focused on producing 
semantic web data to consuming it, not only are we beginning to eat our own dog 
food, we are starting to offer it to others outside of the community to taste 
and adapt to their needs. Mainstream adoption is, however, still limited by a 
lack of understanding of the Semantic Web Technology stack. Questions like 
What makes the Semantic Web different from the World Wide Web, What is an 
ontology? and What is semantic metadata? are commonplace when presenting 
non-semantic web savvy users with semantic data. Work is required that allows 
lay-users to consume and interact with semantic web data without a deep 
knowledge of the intricacies of the Semantic Web stack. In providing such 
approaches reuse and consumption of semantic web data will be achieved in areas 
such as education, social awareness and governmental transparency, all areas 
where data is currently available and encoded as Linked Data and/or using other 
semantic representations.

We invite submissions that illustrate interactive visualisation of semantic web 
data, to support activities such as exploratory knowledge discovery and 
browsing of linked data, in order to aid understanding of the very large 
amounts of highly interlinked, high-dimensional data, and therefore demonstrate 
the power and utility of the semantic web.

The volume of semantic web data now available and the rate at which it is being 
produced also provide challenges to data consumers and semantic web developers. 
Without performing a depth-first exploration of a given dataset it is hard to 
know what the dataset may contain, its size, its attributes or whether it is 
useful for what a given consumer needs. Analytics, supported by interactive 
visualisation, plays a vital role in this situation by generating overviews and 
improving the interpretation of statistical analysis that describes dataset 
properties. Such an approach provides consumers with abstract or high-level 
descriptions of what is available and helps to point to what could be useful to 
carrying out their tasks successfully.

We solicit work that illustrates the application of visual analytics to 
semantic web data. Examples include graph summarisation, network-based 
analytics and plot layouts that provide density and connectivity assessments, 
used in co-ordination with other visual analytics techniques that highlight 
specific attributes, such as time and location.

Ontologies form a vital component of the Semantic Web, allowing 
community-specific terms and colloquial use of language to be expressed using 
commonly agreed formal terms or concepts. Ontologies further ease the 
definition of the (often multiple) relationships between concepts. Despite such 
formal constructs, presenting ontological concepts and their relations in a 
coherent and legible form still remains a challenge. While support for formal 
knowledge representation is available for technical audiences it is unclear if 
we are close to an agreed community-standard or practice for such presentation 
to other end users? How should the presentation be adapted given the audience 
(technical or lay) in order to convey the value of its information content to 
them?
We invite submissions that provide novel and innovative ways to visualise 
ontologies, concept hierarchies and the dependencies between distributed 
ontologies, and contrast existing ontology visualisation approaches.


TOPICS
--

We invite submissions covering the following topics:

*Visualisation of Semantic Web Data
--Browsing Linked Data
--Visual exploratory knowledge discovery and information retrieval (from Linked 
Data and other Semantic Web Data
--Ontology visualisation
--Big data visualisation
--Including solutions for managing user cognitive load

*Interacting with Semantic Web Data
--Novel interaction paradigms
--Intuitive support for editing or publishing to the Semantic Web

*Visual Analytics of Semantic Web Data
--Graph and network-theoretic analysis
--Geo/socio-temporal and topical analysis
--Statistical analysis
--Visualising (and communicating) uncertainty, validity, dynamicity
--Business-driven analytics (to derive competitive advantage)
---as a tool for sharing knowledge within

2nd CFP: IJSWIS Special Issue on Visualisation of and Interaction with Semantic Web Data

2012-04-26 Thread Matthew Rowe

==

Special Issue on Visualisation of and Interaction 
  with Semantic Web Data

  Special issue of the 
  International Journal on Semantic Web and Information Systems

http://www.ijswis.org/?q=node%2F41


==

 Editors: Matthew Rowe , Aba-Sah Dadzie


ABOUT
--

Visualising and easing the interpretation of semantic web data is now 
one of the largest challenges facing the Semantic Web community. The 
growth of the Web of Linked Data has shifted research from being primarily 
focused on producing semantic web data to consuming it, not only are we 
beginning to eat our own dog food, we are starting to offer it to others 
outside of the community to taste and adapt to their needs. Mainstream 
adoption is, however, still limited by a lack of understanding of the 
Semantic Web Technology stack. Questions like ‘What makes the Semantic 
Web different from the World Wide Web?’, ‘What is an ontology?’ and 
‘What is semantic metadata?’ are commonplace when presenting non-semantic 
web savvy users with semantic data. Work is required that allows lay-users 
to consume and interact with semantic web data without a deep knowledge of 
the intricacies of the Semantic Web stack. In providing such approaches 
reuse and consumption of semantic web data will be achieved in areas such 
as education, social awareness and governmental transparency, all areas 
where data is currently available and encoded as Linked Data and/or using 
other semantic representations.

We invite submissions that illustrate interactive visualisation of semantic 
web data, to support activities such as exploratory knowledge discovery and 
browsing of linked data, in order to aid understanding of the very large 
amounts of highly interlinked, high-dimensional data, and therefore demonstrate 
the power and utility of the semantic web.

The volume of semantic web data now available and the rate at which it is being 
produced also provide challenges to data consumers and semantic web developers. 
Without performing a depth-first exploration of a given dataset it is hard to 
know what the dataset may contain, its size, its attributes or whether it is 
useful for what a given consumer needs. Analytics, supported by interactive 
visualisation, plays a vital role in this situation by generating overviews 
and improving the interpretation of statistical analysis that describes dataset 
properties. Such an approach provides consumers with abstract or high-level 
descriptions of what is available and helps to point to what could be useful 
to carrying out their tasks successfully.

We solicit work that illustrates the application of visual analytics to 
semantic 
web data,. Examples include graph summarisation, network-based analytics and 
plot layouts that provide density and connectivity assessments, used in 
co-ordination with other visual analytics techniques that highlight specific 
attributes, such as time and location.

Ontologies form a vital component of the Semantic Web, allowing 
community-specific 
terms and colloquial use of language to be expressed using commonly agreed 
formal 
terms or concepts. Ontologies further ease the definition of the (often 
multiple) 
relationships between concepts. Despite such formal constructs, presenting 
ontological concepts and their relations in a coherent and legible form still 
remains a challenge. While support for formal knowledge representation is 
available for technical audiences it is unclear if we are close to an agreed 
community-standard or practice for such presentation to other end users? How 
should the presentation be adapted given the audience (technical or lay) in 
order 
to convey the value of its information content to them?
We invite submissions that provide novel and innovative ways to visualise 
ontologies, 
concept hierarchies and the dependencies between distributed ontologies, and 
contrast 
existing ontology visualisation approaches.

Submissions should be suitable for a highly ranked archival journal (IJSWIS is 
among 
the top journals in WWW).



TOPICS
--

We invite submissions covering the following topics:

-Visualisation of Semantic Web Data
--Browsing Linked Data
--Visual exploratory knowledge discovery and information retrieval (from Linked 
Data and other Semantic Web Data
--Ontology visualisation
--Big data visualisation
--Including solutions for managing user cognitive load

-Interacting with Semantic Web Data
--Novel interaction paradigms
--Intuitive support for editing or publishing to the Semantic Web

-Visual Analytics of Semantic Web Data
--Graph and network-theoretic analysis
--Geo/socio-temporal and topical analysis
--Statistical analysis
--Visualising (and communicating) uncertainty, validity, dynamicity
--Business-driven

2nd CFP: IJSWIS Special Issue on Visualisation of and Interaction with Semantic Web Data

2012-04-25 Thread Matthew Rowe
==

Special Issue on Visualisation of and Interaction 
  with Semantic Web Data

  Special issue of the 
  International Journal on Semantic Web and Information Systems

http://www.ijswis.org/?q=node%2F41


==

 Editors: Matthew Rowe , Aba-Sah Dadzie


ABOUT
--

Visualising and easing the interpretation of semantic web data is now 
one of the largest challenges facing the Semantic Web community. The 
growth of the Web of Linked Data has shifted research from being primarily 
focused on producing semantic web data to consuming it, not only are we 
beginning to eat our own dog food, we are starting to offer it to others 
outside of the community to taste and adapt to their needs. Mainstream 
adoption is, however, still limited by a lack of understanding of the 
Semantic Web Technology stack. Questions like ‘What makes the Semantic 
Web different from the World Wide Web?’, ‘What is an ontology?’ and 
‘What is semantic metadata?’ are commonplace when presenting non-semantic 
web savvy users with semantic data. Work is required that allows lay-users 
to consume and interact with semantic web data without a deep knowledge of 
the intricacies of the Semantic Web stack. In providing such approaches 
reuse and consumption of semantic web data will be achieved in areas such 
as education, social awareness and governmental transparency, all areas 
where data is currently available and encoded as Linked Data and/or using 
other semantic representations.

We invite submissions that illustrate interactive visualisation of semantic 
web data, to support activities such as exploratory knowledge discovery and 
browsing of linked data, in order to aid understanding of the very large 
amounts of highly interlinked, high-dimensional data, and therefore demonstrate 
the power and utility of the semantic web.

The volume of semantic web data now available and the rate at which it is being 
produced also provide challenges to data consumers and semantic web developers. 
Without performing a depth-first exploration of a given dataset it is hard to 
know what the dataset may contain, its size, its attributes or whether it is 
useful for what a given consumer needs. Analytics, supported by interactive 
visualisation, plays a vital role in this situation by generating overviews 
and improving the interpretation of statistical analysis that describes dataset 
properties. Such an approach provides consumers with abstract or high-level 
descriptions of what is available and helps to point to what could be useful 
to carrying out their tasks successfully.

We solicit work that illustrates the application of visual analytics to 
semantic 
web data,. Examples include graph summarisation, network-based analytics and 
plot layouts that provide density and connectivity assessments, used in 
co-ordination with other visual analytics techniques that highlight specific 
attributes, such as time and location.

Ontologies form a vital component of the Semantic Web, allowing 
community-specific 
terms and colloquial use of language to be expressed using commonly agreed 
formal 
terms or concepts. Ontologies further ease the definition of the (often 
multiple) 
relationships between concepts. Despite such formal constructs, presenting 
ontological concepts and their relations in a coherent and legible form still 
remains a challenge. While support for formal knowledge representation is 
available for technical audiences it is unclear if we are close to an agreed 
community-standard or practice for such presentation to other end users? How 
should the presentation be adapted given the audience (technical or lay) in 
order 
to convey the value of its information content to them?
We invite submissions that provide novel and innovative ways to visualise 
ontologies, 
concept hierarchies and the dependencies between distributed ontologies, and 
contrast 
existing ontology visualisation approaches.

Submissions should be suitable for a highly ranked archival journal (IJSWIS is 
among 
the top journals in WWW).



TOPICS
--

We invite submissions covering the following topics:

-Visualisation of Semantic Web Data
--Browsing Linked Data
--Visual exploratory knowledge discovery and information retrieval (from Linked 
Data and other Semantic Web Data
--Ontology visualisation
--Big data visualisation
--Including solutions for managing user cognitive load

-Interacting with Semantic Web Data
--Novel interaction paradigms
--Intuitive support for editing or publishing to the Semantic Web

-Visual Analytics of Semantic Web Data
--Graph and network-theoretic analysis
--Geo/socio-temporal and topical analysis
--Statistical analysis
--Visualising (and communicating) uncertainty, validity, dynamicity
--Business-driven

CFP: Posters, Demos and Late-Breaking Work @ Making Sense of Microposts 2012 workshop, WWW2012

2012-03-09 Thread Matthew Rowe
/vocabulary modelling and learning from Microposts
   * Integrating Microposts into the Web of Linked Data

2. Social/Web Science studies
   * Analysis of Micropost data patterns
   * Political and polemical aspects of Microposts
   * Citizen empowerment through information availability
   * Motivations for creating and consuming Microposts
   * Relevance of Microposts and factors that influence them
   * Community/network analysis of Micropost dynamics
   * Ethics/privacy implications of publishing and consuming Microposts
   * Microposts in the corporate environment

3. Context
   * Utilising context (time, location, sentiment)
   * Contextual inference mechanisms
   * Social awareness streams and Online Presence
   * Event Detection and monitoring through Microposts

4. Applying Microposts
   * User profiling/recommendation/personalisation approaches using Microposts
   * Public opinion mining (i.e. political consensus, brand/product opinions)
   * Collective intelligence in inferring trends and making predictions
   * Expertise finding
   * Business analysis/market scanning
   * Urban sensing and location-based applications
   * Emergency systems and response


WORKSHOP STRUCTURE
---

A keynote address will open the day. This will be followed by paper 
presentations. We will hold a poster and demo session to trigger further, more 
in-depth interaction between workshop participants. Key points raised during 
the keynote and the participant presentations will guide an open forum / panel 
discussion which will be used to conclude the workshop, with an aim to form a 
more permanent discussion group.


SUBMISSION TYPES in the 2nd Call


 * Posters: 2 page descriptions
 * Demos: 2 page descriptions
 * Mock-up interfaces: 2 page description AND one of:
- storyboard (max A3)
- video (90 second limit)

Written submissions should be prepared according to the ACM SIG Proceedings 
Template (see http://www.acm.org/sigs/publications/proceedings-templates), and 
should include author names and affiliations, and 3-5 keywords.
Submission is via the EasyChair Conference System, at: 
http://www.easychair.org/conferences/?conf=msm2012. Where a submission includes 
additional material submission should be made as a single, unencrypted zip file 
that includes a plain text file listing its contents.


IMPORTANT DATES


Submissions due: 02 Apr 2012
Notification of acceptance: 07 Apr 2012
Camera-ready deadline:  14 Apr  2012
Workshop - 16 Apr 2012 (Registration open to all)

(all deadlines 23:59 Hawaii Time)




CONTACT
---

E-mail: msm2...@easychair.org
Facebook Group: http://www.facebook.com/#!/home.php?sk=group_180472611974910
Twitter hashtag: #msm2012



ORGANISERS
---

Matthew Rowe, KMi, The Open University, UK
Milan Stankovic, Hypios/University Paris-Sorbonne, France
Aba-Sah Dadzie, University of Sheffield, UK


PROGRAM COMMITTEE
--

Fabian Abel, Leibniz University Hannover, Germany
Gholam R. Amin, Sultan Qaboos University, Oman
Sofia Angeletou, KMi, The Open University, UK
Pierpaolo Basile, University of Bari, Italy
Uldis Bojars, University of Latvia, Latvia
John Breslin, NUIG, Ireland
A. Elizabeth Cano, University of Sheffield, UK
Oscar Corcho, Universidad Politecnica de Madrid
Danica Damljanovic, University of Sheffield, UK
Ali Emrouznejad, Aston Business School, UK
Guillaume Ereteo, INRIA, France
Miriam Fernandez, KMi, The Open University, UK
Fabien Gandon, INRIA, Sophia-Antipolis, France
Andres Garcia-Silva, Universidad Politecnica de Madrid
Anna Lisa Gentile, University of Sheffield, UK
Jon Hickman, Birmingham City University, UK
Seth van Hooland, Free University of Brussels, Belgium
Jennifer Jones, University of the West of Scotland, UK
Jelena Jovanovic, University of Belgrade, Serbia
Vita Lanfranchi, University of Sheffield, UK
Philippe Laublet, Universite Paris-Sorbonne, France
Joao Magalhaes, Universidade Nova de Lisboa, Portugal
Julie Letierce, DERI, Galway, Ireland
Diana Maynard, University of Sheffield, UK
Pablo Mendes, Freie Universitat of Berlin, Germany
Jose M. Morales del Castillo, Universidad de Granada, Spain
Alexandre Passant, DERI, Galway, Ireland
Danica Radovanovic, Oxford Internet Institute, UK
Yves Raimond, BBC, UK
Harald Sack, University of Potsdam, Germany
Bernhard Schandl, University of Vienna, Austria
Andreas Sonnenbichler, KIT, Germany
Raphael Troncy, Eurecom, France
Victoria Uren, Aston Business School, UK
Claudia Wagner, Joanneum Research, Austria
Shenghui Wang, Vrije University, The Netherlands
Katrin Weller, University of Dusseldorf, Germany
Ziqi Zhang, University of Sheffield, U

--
Dr Matthew Rowe
Research Associate
Knowledge Media Institute
The Open University, Walton Hall, Milton Keynes, MK7 6AA
http://people.kmi.open.ac.uk/rowe/ 


-- 
The Open University is incorporated by Royal Charter (RC 000391), an exempt 
charity in England  Wales and a charity registered in Scotland (SC 038302).




[Deadline Extension] CFP 2nd Workshop on Making Sense of Microposts (#MSM2012)

2012-02-03 Thread Matthew Rowe
 to conclude the workshop, with an aim to form a 
more permanent discussion group.


SUBMISSIONS


  * Full papers: 8 pages
  * Short and position papers: 4 pages
  * Demos: 2 pages
  * Mock-up interfaces: 2 page description AND one of:
- storyboard (max A3)
- video (90 second limit)

Written submissions should be prepared according to the ACM SIG Proceedings 
Template (see http://www.acm.org/sigs/publications/proceedings-templates), and 
should include author names and affiliations, and 3-5 keywords.
Submission is via the EasyChair Conference System, at: 
http://www.easychair.org/conferences/?conf=msm2012. Where a submission includes 
additional material submission should be made as a single, unencrypted zip file 
that includes a plain text file listing its contents.

Each submission will receive, in addition to a meta-review, at least 2 peer 
reviews, with full papers at least 3 peer reviews.


IMPORTANT DATES


Submission of Abstracts: 03 Feb 2012
Paper Submission deadline (Extended!): 10 Feb 2012
Notification of acceptance: 06 Mar 2012
Camera-ready deadline:  23 Mar 2012

(all deadlines 23:59 Hawaii Time)

Workshop program issued: 08 Mar 2012
Proceedings published (CEUR): 31 Mar 2012
Workshop - 16 Apr 2012 (Registration open to all)

Note: Authors of accepted papers will be able to take advantage of the 
early-bird price for conference registration for a couple of days following 
notification of acceptance.


CONTACT
---

E-mail: msm2...@easychair.org
Facebook Group: http://www.facebook.com/#!/home.php?sk=group_180472611974910
Twitter hashtag: #msm2012



ORGANISERS
---

Matthew Rowe, KMi, The Open University, UK
Milan Stankovic, Hypios/University Paris-Sorbonne, France
Aba-Sah Dadzie, University of Sheffield, UK


PROGRAM COMMITTEE
--

Fabian Abel, Leibniz University Hannover, Germany
Gholam R. Amin, Sultan Qaboos University, Oman
Sofia Angeletou, KMi, The Open University, UK
Pierpaolo Basile, University of Bari, Italy
Uldis Bojars, University of Latvia, Latvia
John Breslin, NUIG, Ireland
A. Elizabeth Cano, University of Sheffield, UK
Oscar Corcho, Universidad Politecnica de Madrid
Danica Damljanovic, University of Sheffield, UK
Ali Emrouznejad, Aston Business School, UK
Guillaume Ereteo, INRIA, France
Miriam Fernandez, KMi, The Open University, UK
Fabien Gandon, INRIA, Sophia-Antipolis, France
Andres Garcia-Silva, Universidad Politecnica de Madrid
Anna Lisa Gentile, University of Sheffield, UK
Jon Hickman, Birmingham City University, UK
Seth van Hooland, Free University of Brussels, Belgium
Jennifer Jones, University of the West of Scotland, UK
Jelena Jovanovic, University of Belgrade, Serbia
Vita Lanfranchi, University of Sheffield, UK
Philippe Laublet, Universite Paris-Sorbonne, France
Joao Magalhaes, Universidade Nova de Lisboa, Portugal
Julie Letierce, DERI, Galway, Ireland
Diana Maynard, University of Sheffield, UK
Pablo Mendes, Freie Universitat of Berlin, Germany
Jose M. Morales del Castillo, Universidad de Granada, Spain
Alexandre Passant, DERI, Galway, Ireland
Carlos Porcel, University of Jaen, Spain
Danica Radovanovic, Oxford Internet Institute, UK
Yves Raimond, BBC, UK
Harald Sack, University of Potsdam, Germany
Bernhard Schandl, University of Vienna, Austria
Andreas Sonnenbichler, KIT, Germany
Daniel Torres Salinas, Universidad de Granada, Spain
Raphael Troncy, Eurecom, France
Mischa Tuffield, PeerIndex, UK
Victoria Uren, Aston Business School, UK
Claudia Wagner, Joanneum Research, Austria
Shenghui Wang, Vrije University, The Netherlands
Katrin Weller, University of Dusseldorf, Germany
Ziqi Zhang, University of Sheffield, UK

--
Dr Matthew Rowe
Research Associate
Knowledge Media Institute
The Open University, Walton Hall, Milton Keynes, MK7 6AA
http://people.kmi.open.ac.uk/rowe/ 


-- 
The Open University is incorporated by Royal Charter (RC 000391), an exempt 
charity in England  Wales and a charity registered in Scotland (SC 038302).




CFP: IJSWIS Special Issue on Visualisation of and Interaction with Semantic Web Data

2012-01-09 Thread Matthew Rowe
Hello

We are pleased to announce the call for papers for the following special issue.


==

 Special Issue on Visualisation of and Interaction 
   with Semantic Web Data

   Special issue of the 
   International Journal on Semantic Web and Information Systems

 http://www.ijswis.org/?q=node%2F41


==

  Editors: Matthew Rowe , Aba-Sah Dadzie


ABOUT
--

Visualising and easing the interpretation of semantic web data is now 
one of the largest challenges facing the Semantic Web community. The 
growth of the Web of Linked Data has shifted research from being primarily 
focused on producing semantic web data to consuming it, not only are we 
beginning to eat our own dog food, we are starting to offer it to others 
outside of the community to taste and adapt to their needs. Mainstream 
adoption is, however, still limited by a lack of understanding of the 
Semantic Web Technology stack. Questions like ‘What makes the Semantic 
Web different from the World Wide Web?’, ‘What is an ontology?’ and 
‘What is semantic metadata?’ are commonplace when presenting non-semantic 
web savvy users with semantic data. Work is required that allows lay-users 
to consume and interact with semantic web data without a deep knowledge of 
the intricacies of the Semantic Web stack. In providing such approaches 
reuse and consumption of semantic web data will be achieved in areas such 
as education, social awareness and governmental transparency, all areas 
where data is currently available and encoded as Linked Data and/or using 
other semantic representations.

We invite submissions that illustrate interactive visualisation of semantic 
web data, to support activities such as exploratory knowledge discovery and 
browsing of linked data, in order to aid understanding of the very large 
amounts of highly interlinked, high-dimensional data, and therefore demonstrate 
the power and utility of the semantic web.

The volume of semantic web data now available and the rate at which it is being 
produced also provide challenges to data consumers and semantic web developers. 
Without performing a depth-first exploration of a given dataset it is hard to 
know what the dataset may contain, its size, its attributes or whether it is 
useful for what a given consumer needs. Analytics, supported by interactive 
visualisation, plays a vital role in this situation by generating overviews 
and improving the interpretation of statistical analysis that describes dataset 
properties. Such an approach provides consumers with abstract or high-level 
descriptions of what is available and helps to point to what could be useful 
to carrying out their tasks successfully.

We solicit work that illustrates the application of visual analytics to 
semantic 
web data,. Examples include graph summarisation, network-based analytics and 
plot layouts that provide density and connectivity assessments, used in 
co-ordination with other visual analytics techniques that highlight specific 
attributes, such as time and location.

Ontologies form a vital component of the Semantic Web, allowing 
community-specific 
terms and colloquial use of language to be expressed using commonly agreed 
formal 
terms or concepts. Ontologies further ease the definition of the (often 
multiple) 
relationships between concepts. Despite such formal constructs, presenting 
ontological concepts and their relations in a coherent and legible form still 
remains a challenge. While support for formal knowledge representation is 
available for technical audiences it is unclear if we are close to an agreed 
community-standard or practice for such presentation to other end users? How 
should the presentation be adapted given the audience (technical or lay) in 
order 
to convey the value of its information content to them?
We invite submissions that provide novel and innovative ways to visualise 
ontologies, 
concept hierarchies and the dependencies between distributed ontologies, and 
contrast 
existing ontology visualisation approaches.

Submissions should be suitable for a highly ranked archival journal (IJSWIS is 
among 
the top journals in WWW).



TOPICS
--

We invite submissions covering the following topics:

-Visualisation of Semantic Web Data
--Browsing Linked Data
--Visual exploratory knowledge discovery and information retrieval (from Linked 
Data and other Semantic Web Data
--Ontology visualisation
--Big data visualisation
--Including solutions for managing user cognitive load

-Interacting with Semantic Web Data
--Novel interaction paradigms
--Intuitive support for editing or publishing to the Semantic Web

-Visual Analytics of Semantic Web Data
--Graph and network-theoretic analysis
--Geo/socio-temporal and topical analysis
--Statistical analysis

CFP: SWJ Special Issue on the Semantics of Microposts (Deadline Extension: 29th November 2011)

2011-11-08 Thread Matthew Rowe
.


IMPORTANT DATES

Initial Submission (Extended): 29th Nov 2011
Author Notification: 15 Jan 2012
2nd Round Submission: 15 Mar 2012 (subject to change)
Final Notification: 31 May 2012 (subject to change)


OPEN REVIEW PROCESS

All papers must demonstrate the validity of the approach taken and
include an objective review of the state of the art and the contribution
made to improve on this.

All submissions are subject to an open review process, and will be made
publicly available on the journal's website. Further, in addition to
solicited reviews by members of the editorial board, public reviews and
comments are welcome by any researcher and can be uploaded using the
journal website. Submission and reviewing guidelines may be found in
full at: http://www.semantic-web-journal.net/reviewers
See also, the author guidelines at
http://www.semantic-web-journal.net/authors


THE GUEST EDITORS

The guest editors were also the co-organisers of the ESWC 2011 workshop
'Making Sense of Microposts'.

Dr. MATTHEW ROWE is a postdoctoral researcher working at the Knowledge
Media Institute at the Open University. His current work explores
automated techniques to predict discussion levels on Social Web
platforms as part of the EU funded projects ROBUST and WeGov. On ROBUST
he is the leader of a work package responsible for modelling user
behaviour and community evolution. His PhD thesis explored automated
techniques for the disambiguation of identity web references, where such
techniques were supported with data leveraged from the Social Web. He
has an extensive publication record including papers in the Journal of
Web Semantics and the European Semantic Web Conference. He has reviewed
papers for many conferences and journals including the Journal of Web
Semantics and the World Wide Web journal. Matthew was involved in the
organisation of the 'Essential HCI for the Semantic Web' Tutorial at
ESWC 2010, and he is the coordinator of the Semantic Technologies
activity at ESWC 2011.
Web page: http://people.kmi.open.ac.uk/rowe
e-mail: m.c.r...@open.ac.uk

Mr. MILAN STANKOVIC has been conducting Social Semantic Web research
since the early days of the field. His pioneering work on Semantic
Online Presence set the ground for many research initiatives working to
make online presence systems (including Twitter) a part of the Semantic
Web, and make the most use of them and their underlying semantics. As a
result of his continuing dedication to making sense of Twitter, Milan
has published a number of papers on the topic at high impact workshops
such as SDoW 2008, SDoW 2010, LDoW 2010, as well as in Springer
Journals. He is currently a researcher at hypios - a Social Semantic
facilitator of Open Innovation.
Web page: http://milstan.net
e-mail: mils...@hypios.com

Dr. ABA-SAH DADZIE is a research associate with the Organisations,
Information  Knowledge Group at The University of Sheffield. Her
research focuses on user-centred knowledge management that exploits
Semantic Web technology and visual analytics. In previous projects,
X-Media, IPAS and XSPAN, she explored methods for identifying links
across and integrating distributed data, to enable effective, intuitive
knowledge discovery, retrieval, enrichment and use. She also contributed
to the EU project WeKnowIt. She currently works on the EU project
SmartProducts, where she is looking at ontology-guided, proactive
knowledge discovery and integration from domain, online and other
community-driven resources to enhance interaction within smart environments.
Aba-Sah was a co-organiser and assistant tutor for the 'Essential HCI
for the Semantic Web' Tutorial at ESWC 2010, and a co-organiser of the
'Knowledge Acquisition from Social Networking Sites' Tutorial at EKAW
2010. She has published work at major conferences including ESWC, ISWC
and IEEE VAST, in addition to high impact journals. She also acts as a
peer reviewer for a number of major conferences. Aba-Sah previously
worked as a lecturer and in management in industry.
Web page: http://www.dcs.shef.ac.uk/~aba-sah
e-mail: a.dad...@dcs.shef.ac.uk

Dr. MARIANN HARDEY is newly appointed to the Marketing Group at Durham
Business School, Durham University. She is a social media professional
with a strong background in sociology and the social consequences of
digital communications technology, in particular Social Network Sites.
Mariann is an academic in the main, but also works on commercial
consulting projects and is the BBC North East commentator for social
media and digital networks. Before Facebook, she read literature at the
University of Sussex and later undertook a research MA followed by a PhD
at the University of York. In her work Mariann seeks to identify and
understand how real social relationships are mediated through digital
social networks and Web 2.0 applications. Mariann is, therefore, a
member of a new generation of academics and researchers who have not
only grown up with digital technology, but are pushing new research

Discogs Linked Data

2010-06-03 Thread Matthew Rowe
Does anyone know the state of play wrt a linked dataset describing  
Discogs (the music/record site)?


I know that Leigh Dodds did some work about a year ago [1] but it  
appears that the data incubator page for the dataset is not active.  
There is also a SPARQL endpoint to the data at [2] but no access to a  
dump of the triples.


Thinking about setting up a dataset describing Discogs, but would not  
do so if this has been done already and the dataset is regularly  
updated.


thanks

Matthew Rowe, MEng
PhD Student
OAK Group
Department of Computer Science
University of Sheffield
m.r...@dcs.shef.ac.uk


[1] http://discogs.dataincubator.org/
[2] http://api.talis.com/stores/discogs/services/sparql



Re: linking facebook data

2010-04-30 Thread Matthew Rowe

Hi

First just want to say Li that your app is cool. Good job.


Hello,

Am cc'ing the foaf-dev mailing (sorry for cross posting)...

I just had a look at your fb graph API - foaf rdf service[1],  
firstly cool stuff, but I have a few points I will address below.


I recall Matthew Rowe[2] making a similar service a few years ago  
which spat out foaf data for a user's fb account, and I recall fb  
getting annoyed. Am guessing they mentally might have shifted since  
danbri's good work in getting them involve with SW tech  (great work  
once again by danbri ... *tonnes of applause), I guess we will find  
out soon ...


Indeed it appears that their opinion of 'open data' has shifted.  
Facebook refused to list the FOAF Generator, which Mischa mentions, in  
their application directory as they were concerned about having  
'their' data exported from Facebook for use by 3rd parties. You can  
use it here:


http://ext.dcs.shef.ac.uk/~u0057/FoafGenerator

With the above app you are able to export your entire social graph  
from fb, thus capturing all your relationships in RDF using FOAF. I  
guess that with the Open Graph Protocol you can't get such information.





I just built a demo that provides dereferenable HTTP URIs (with
RDF/XML data) for Facebook data using data retrieved from the  
recently

announced  Graph API by Facebook.  see
http://sam.tw.rpi.edu/ws/face_lod.html

In the demo, I observed inconsistent term usage between the Facebook
data  API (JSON) and open graph protocol vocabulary. There is also
some good potential to get the Facebook terms mapped to FOAF and
DCterms terms. Please see my blog at
http://tw.rpi.edu/weblog/2010/04/28/putting-open-facebook-data-into-linked-data-cloud/
.

Comments are welcome.

best,

--
Li Ding
http://www.cs.rpi.edu/~dingl/






Matthew Rowe, MEng
PhD Student
OAK Group
Department of Computer Science
University of Sheffield
m.r...@dcs.shef.ac.uk



Re: LOD Camp at WWW2010....

2010-04-21 Thread Matthew Rowe
Do you not think that is quite expensive? I am interested in attending the 
linked open data camp, but I am not registered for the main conference - 
instead attending workshops and the web science conference.

Is there any chance to have a similar fee to the FutureWeb event?

thanks


On 21 Apr 2010, at 08:45, Marie-Claire Forgue wrote:

 Hello Ed,
 
 I just looked at the WWW2010 registration page 
 (http://www2010.org/www/attendees/register/), and it reads:
 April 26-30 ; 1-day pass ; $495 – Regular ; $295 – Student
 
 The 75USD (student rate) is for the FutureWeb event.
 
 Best regards,
 
 - Marie-Claire.
 
 
 On 21/04/2010 09:39, Ivan Herman wrote:
 Ed,
 
 I have forwarded your question to Marie-Claire Forgue who handles the 
 practicalities... Stay tuned!
 
 Ivan
 
 
 On Apr 20, 2010, at 18:56 , Ed Summers wrote:
 
 Hi Ivan,
 
 So it looks like students could go to the entire day of Linked Open
 Data Camp by paying $75.00?
 
 //Ed
 
 On Tue, Apr 20, 2010 at 12:19 PM, Ivan Hermani...@w3.org  wrote:
 This is just a reminder that there will be an LOD camp at the WWW 
 Conference next week in Raleigh:
 
 http://www.w3.org/2010/04/w3c-track.html
 
 you should sign up on
 
 http://esw.w3.org/topic/LODCampW3CTrack
 
 you can also add your favourite topic right now on the wiki page, or leave 
 for the discussion over there...
 
 Ivan
 
 
 Ivan Herman, W3C Semantic Web Activity Lead
 Home: http://www.w3.org/People/Ivan/
 mobile: +31-641044153
 PGP Key: http://www.ivan-herman.net/pgpkey.html
 FOAF: http://www.ivan-herman.net/foaf.rdf
 
 
 
 
 
 
 
 
 
 
 Ivan Herman, W3C Semantic Web Activity Lead
 Home: http://www.w3.org/People/Ivan/
 mobile: +31-641044153
 PGP Key: http://www.ivan-herman.net/pgpkey.html
 FOAF: http://www.ivan-herman.net/foaf.rdf
 
 
 
 
 
 
 
 -- 
 Marie-Claire Forgue +33 4 92 38 75 94
 Head of W3C European Communications and
 Business Development+33 4 92 38 78 22 (fax)
 mailto:m...@w3.org  -  http://www.w3.org/+33 6 76 86 33 41 (mob)
 




Matthew Rowe, MEng
PhD Student
OAK Group
Department of Computer Science
University of Sheffield
m.r...@dcs.shef.ac.uk