** apologies for cross-posting **

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** 
** Deadline extended:           
**   January 28, 2016           
**   23:59 Hawaii Standard Time 
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==== Very Final Call for Papers ====
2016 Workshop on Semantics, Analytics, Visualisation: Enhancing Scholarly Data 
(SAVE-SD 2016)
Date: April 11 or 12, 2016
Venue: Montreal, Canada (co-located with WWW 2016)
Hashtag: #savesd2016
Twitter: @savesdworkshop
Site: http://cs.unibo.it/save-sd/2016/index.html
Workshop chairs:
- Alejandra Gonzalez-Beltran (University of Oxford, UK)
- Francesco Osborne (Open University, UK)
- Silvio Peroni (University of Bologna, Italy)


# HIGHLIGHTS

- Deadline extended: January 28, 2016, 23:59 Hawaii Standard Time
- The keynote speaker will be Alex Wade (Microsoft)
- Submission in HTML-based formats (e.g., RASH) available
- Workshop proceedings in the renown Springer LNCS
- PeerJ Computer Science special issue of extended versions of selected 
research papers
- RIO Journal special issue of extended versions of selected 
position/poster/demo papers (sponsored by Pensoft)
- Awards for the best RASH paper sponsored by Springer


# DESCRIPTION

After the great success of the past edition, we are pleased to announce SAVE-SD 
2016, which wants to bring together publishers, companies and researchers from 
different fields (including Document and Knowledge Engineering, Semantic Web, 
Natural Language Processing, Scholarly Communication, Bibliometrics, 
Human-Computer Interaction, Information Visualisation, Bioinformatics, and Life 
Sciences) in order to bridge the gap between the theoretical/academic and 
practical/industrial aspects in regards to scholarly data.

The following topics will be addressed:
- semantics of scholarly data, i.e. how to semantically represent, categorise, 
connect and integrate scholarly data, in order to foster reusability and 
knowledge sharing;
- analytics on scholarly data, i.e. designing and implementing novel and 
scalable algorithms for knowledge extraction with the aim of understanding 
research dynamics, forecasting research trends, fostering connections between 
groups of researchers, informing research policies, analysing and interlinking 
experiments and deriving new knowledge;
- visualisation of and interaction with scholarly data, i.e. providing novel 
user interfaces and applications for navigating and making sense of scholarly 
data and highlighting their patterns and peculiarities.


# TOPICS OF INTEREST

We would encourage submission of papers covering, but not limited to, one or 
more of the following topics:

Semantics:
- Data models (e.g., ontologies, vocabularies, schemas) for the description of 
scholarly data and the linking between scholarly data and academic papers that 
report or cite them
- Description of citations and citation networks
- Theoretical models describing the rhetorical and argumentative structure of 
scholarly papers and their application in practice
- Description and use of provenance information of scholarly data
- From digital libraries of scholarly papers to Linked Open Datasets: models, 
applicability and challenges
- Definition and description of scholarly publishing processes
- Modelling licences for scholarly documents and data

Analytics:
- Assessing the quality and/or trust of scholarly data
- Pattern discovery of scholarly data
- Citation analysis and prediction
- Scientific claims identification from textual contents
- New indicators for measuring the quality and relevance of research
- Comparison between standard metrics (e.g., h-index, impact factor, citation 
counting) and alternative metrics in real-case scenarios
- Automatic or semi-automatic approaches to making sense of research dynamics
- Content- and data-based semantic similarity of scholarly papers
- Citation generation
- Automatic semantic enhancement of existing scholarly libraries and papers
- Reconstruction, forecasting and monitoring of scholarly data

Visualisation & Interaction:
- Novel user interfaces for interaction with paper, metadata, content, and data
- Visualisation of citation networks according to multiple dimensions (e.g., 
citation counting, citation functions, kinds of citing/cited entities)
- Visualisation of related papers or data according to multiple dimensions 
(semantic similarity of abstracts, keywords, etc.)
- Applications for making sense of scholarly data
- Usability studies on existing interfaces (e.g., Web sites, Web applications, 
smartphone apps) for browsing scholarly data
- Scholarly data and ubiquity: accessing scholarly information from multiple 
devices (PC, tablet, smartphones)
- Applications for the (semi-)automatic annotation of scholarly papers


# IMPORTANT DATES

- Submission deadline (extended): January 28, 2016 (23:59 Hawaii Standard Time)
- Acceptance notification: February 20, 2016
- Camera ready deadline: March 15, 2016
- Post-proceedings deadline: April 30, 2016


# SUBMISSIONS

SAVE-SD welcomes the submission of original research and application papers 
dealing with the three aforementioned fields. We encourage theoretical, 
methodological, empirical and applications papers. We appreciate the submission 
of papers incorporating links to datasets and other material used for 
evaluation as well as to live demos and software source code.

All submissions must be written in English. Two formats are possible for the 
submission:

- HTML (which is strongly encouraged), a zip archive containing an HTML file 
with the additional stylesheets and scripts included in the style package for 
guaranteeing a correct visualisation of the document on browsers. Even if you 
can use your own HTML-based format for the submission, we strongly suggest the 
use of RASH, the Research Articles in Simplified HTML format 
(https://rawgit.com/essepuntato/rash/master/documentation/index.html), that 
allows one to easily prepare a scientific paper in HTML format. If you decide 
to use RASH, it would be also possible to use OpenOffice for preparing your 
RASH submission (check the workshop website for more information), and the 
translation from your RASH submission into the appropriate publishing format 
that will be used in the official proceedings of the workshop will be totally 
handled by us through a semi-automatic process.

- PDF, a file formatted according to the Springer LNCS template 
(https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).

We invite four kinds of submissions:
- full research papers (max. 15 pages)
- position papers (max. 10 pages)
- demo papers (max. 5 pages)
- poster papers (max. 5 pages)

Note that RASH allow one to check if your HTML file is compliant with the page 
limit constraint of the workshop by selecting the LNCS Style from the menu and 
then by print-viewing or printing to PDF the file.

Papers have to be submitted through EasyChair: 
https://easychair.org/conferences/?conf=savesd2016.


# EVALUATION OF SUBMISSIONS

In order to evaluate the submitted papers, we have three different programme 
committees (PCs), i.e.:
- the Senior PC, whose members will act as meta-reviewers and have the crucial 
role of balancing the scores provided by the reviews from the other two PCs 
(see below);
- the Industrial PC, who will evaluate the submissions from an industrial 
perspective mainly – by assessing how much the theories/applications 
described in the papers do/may influence (positively or negatively) the 
publishing domain and whether they could be concretely adopted by publishers 
and scholarly data providers;
- the Academic PC, who will evaluate the papers from an academic perspective 
mainly – by assessing the quality of the research described in such papers.

All submissions will be reviewed by (at least) one Senior PC member, one 
Industrial PC member and two Academic PC members. The final decision of 
acceptance/rejection will be made in consensus by the chairs.


# PUBLICATION VENUES

All the papers of SAVE-SD will be made available on the workshop website and 
published in a Lecture Notes in Computer Science volume by Springer 
(http://www.springer.com/lncs). The LNCS volume will be published after the 
workshop in order to give the authors an opportunity to revise their papers in 
the light of the discussions of their works at the workshop. Note that the WWW 
2016 organisers will require that at least one of the authors of the papers 
accepted will be registered at the workshop.

We are also pleased to announce two special issues for workshop papers. As in 
the last edition, the authors of selected full research papers of the workshop 
will be invited to submit an extended version of their works to a special issue 
that will be published as part of PeerJ Computer Science 
(https://peerj.com/computer-science/), a new open access journal in Computer 
Science published by the award winning open access publisher PeerJ. In 
addition, this year also the authors of selected position, demo, and poster 
papers of the workshop will be invited to submit an extended version of their 
works to a special issue that will be published as part of the Research Ideas 
and Outcomes (RIO) Journal (http://riojournal.com/).


# AWARDS

An award of 250 euros as a voucher for buying Springer's products, kindly 
sponsored by Springer (http://www.springer.com), will be assigned to the best 
workshop submission in RASH format. The decision will be taken by considering 
the quality of the markup (i.e., the less syntactical mistakes there are in the 
markup, the better), the number of RDF statements defined in RDFa, and the 
number of RDF links to external RDF resources.


# KEYNOTE

The invited speaker for the opening keynote of the workshop will be Alex Wade 
from Microsoft. Alex Wade is Director of Scholarly Communications at Microsoft 
Research, currently focused on Microsoft Academic, involving aspects of 
knowledge acquisition, knowledge representation, intentionality, dialog 
systems, semantic search and intelligent agents. Alex holds a Bachelor's degree 
in Philosophy from U.C. Berkeley, and a Masters of Librarianship degree from 
the University of Washington. During his career at Microsoft, Alex has managed 
Microsoft’s corporate intranet search services, has worked on Windows Search, 
and has implemented an Open Access policy governing Microsoft Research’s 
scholarly output. Prior to joining Microsoft, Alex worked in the library 
systems of the University of Washington, the University of Michigan and the 
University of California at Berkeley.

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