[DL] SAVE-SD 2016 Extension for position, poster, and demo papers
savesd.workshop at gmail.com
savesd.workshop at gmail.com
Mon Feb 1 09:47:32 CET 2016
** apologies for cross-posting **
** Deadline extended for
** position, poster, and demo papers:
** February 5, 2016
** 23:59 Hawaii Standard Time
==== Extension for position, poster, and demo papers ====
2016 Workshop on Semantics, Analytics, Visualisation: Enhancing Scholarly Data (SAVE-SD 2016)
Date: April 11, 2016
Venue: Montreal, Canada (co-located with WWW 2016)
- Alejandra Gonzalez-Beltran (University of Oxford, UK)
- Francesco Osborne (Open University, UK)
- Silvio Peroni (University of Bologna, Italy)
- Submission deadline for position, poster and demo papers extended: February 5, 2016, 23:59 Hawaii Standard Time
- We encourage authors to submit position/poster/demo papers in HTML-based formats - in particular, if you use RASH you can be elegible of the best RASH paper award kindly sponsored by Springer
- All the accepted position, poster and demo papers will be published in the workshop proceedings (Springer LNCS)
- Extended versions of selected position, demo and poster papers will be considered for free-of-charge publication in a dedicated Special Issue of the RIO journal
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:
- 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
- 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 for position, poster and demo papers extended:
February 5, 2016, 23:59 (Hawaii Standard Time)
- Acceptance notification: February 20, 2016
- Camera ready deadline: March 15, 2016
- Post-proceedings deadline: April 30, 2016
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 currently invite three kinds of submissions:
- 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 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 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/).
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.
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 Microsoftâs corporate intranet search services, has worked on Windows Search, and has implemented an Open Access policy governing Microsoft Researchâs 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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