==== Final Call for Papers ====
2017 Workshop on Semantics, Analytics, Visualisation: Enhancing Scholarly Data
(SAVE-SD 2017)
Date: April 3 or 4, 2017
Venue: Perth, Western Australia (co-located with WWW 2017)
Twitter: @savesdworkshop
Twitter Hashtag: #savesd2017
Website: http://cs.unibo.it/save-sd/2017/index.html
Workshop chairs:
- Alejandra Gonzalez-Beltran (University of Oxford, UK)
- Francesco Osborne (The Open University, UK)
- Silvio Peroni (University of Bologna, Italy)
- Sahar Vahdati (University of Bonn, Germany)
# HIGHLIGHTS
- Submission deadline for posters and demos extended: March 1, 2017
- Four formats for submissions: HTML, ODT, DOCX, and PDF
- Best HTML paper award sponsored by Springer Nature
- LNCS Proceedings (final confirmation pending) and Data Science Journal
Special Issue
# IMPORTANT DATES
- Submission deadline: March 1, 2017 (23:59 Hawaii Standard Time)
- Acceptance notification: March 15, 2017 (23:59 Hawaii Standard Time)
- Camera ready deadline: March 20, 2017
- Post-proceedings deadline: April 30, 2017
# DESCRIPTION
After the great success of the past two editions, we are pleased to announce
SAVE-SD 2017, 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. representing in a semantic way,
categorising, connecting and integrating 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
# 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.
Several formats are possible for the submission: HTML (which is strongly
encouraged), DOCX, ODT, and PDF. For details:
http://cs.unibo.it/save-sd/2017/submission.html.
Currently we invite two kinds of submissions:
- demo papers (max. 2800 words)
- poster papers (max. 2800 words)
All the aforementioned limits include metadata (title, authors, keywords,
abstract), acknowledgements, references and the whole content of the paper.
Figures, tables, and listings count 300 words each.
Papers have to be submitted through Springer Nature Online Conference Service:
https://ocs.springer.com/ocs/home/SAVE-SD2017
# 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 â 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 â by assessing the quality of the research described in such papers.
All submissions will be reviewed (at least) by 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 Nature
(http://www.springer.com/lncs, final confirmation pending). 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 2017 organisers will require that at
least one of the authors of the papers accepted to be registered at the
workshop.
We are also pleased to announce that the authors of selected papers (of any
type) of the workshop will be invited to submit an extended version of their
works to a special issue that will be published on the Data Science Journal by
IOS Press (http://datasciencehub.net/).
# AWARD
An award of 250 euros as a voucher for buying Springer Nature's products,
kindly sponsored by Springer Nature, will be assigned to the best workshop
submission in HTML. 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) and the number of RDF statements defined.
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