SAVE-SD 2018
| SAVE-SD 2018 | |
|---|---|
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Semantics, Analytics, Visualisation: Enhancing Scholarly Dissemination
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| Event in series | SAVE-SD |
| Subevent of | WWW 2018 |
| Dates | 2018/04/24 (iCal) - 2018/04/24 |
| Homepage: | save-sd.github.io/2018/submission.html |
| Twitter account: | @savesdworkshop |
| Submitting link: | easychair.org/conferences/?conf=www2018satellites |
| Location | |
| Location: | Lyon, France |
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| Important dates | |
| Papers: | 2018/02/02 |
| Submissions: | 2018/01/26 |
| Notification: | 2018/02/19 |
| Camera ready due: | 2018/03/04 |
| Committees | |
| Workshop chairs: | Alejandra Gonzalez-Beltran, Francesco Osborne, Silvio Peroni, Sahar Vahdati |
| PC members: | Aldo Gangemi, Daniel Schwabe, Enrico Motta, Fabio Vitali, Ivan Herman, Pascal Hitzler, Simone Teufel, Susanna Assunta Sansone, Timothy W. Clark |
| Table of Contents | |
| Tweets by @savesdworkshop | |
After the great success of the past three editions, we are pleased to announce SAVE-SD 2018, 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
We would encourage submission of papers covering, but not limited to, one or more of the following topics, where we consider scholarly data in the broad sense (from bibliographic data, to experimental data and software):
Semantics
- Data models (e.g., ontologies, vocabularies, schemas) for the description of scholarly data and the linking between scholarly data/software and academic papers that report or cite them
- Description of citations and citation networks for scholarly articles, data and software and their interrelationships
- 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, sofware 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
Instructions
All papers must represent original and unpublished work that is not currently under review. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop. Papers have to be submitted through EasyChair (select as track “2018 Workshop on Semantics, Analytics and Visualisation: Enhancing Scholarly Dissemination”). While we need that the authors submit through that submission system in order to proceed with the reviews, SAVE-SD also supports the Linked Research principles (https://linkedresearch.org/calls#how-to-lr) and warmly suggest authors to consider them when preparing their papers.
All submissions must be written in English. Several formats are possible for the submission: HTML (which is strongly encouraged), DOCX, ODT, and PDF. For non-PDF submissions, you should submit a zip archive containing the ODT/DOCX/HTML file. In case of HTML, you should also include in the archive all the additional stylesheets and scripts referred by the HTML file for guaranteeing a correct visualisation of the document on browsers. Please see below for additional details.
HTML
You can use your own HTML-based format for the submission. In this case, you should submit a zip archive containing an HTML file with the additional stylesheets and scripts needed for guaranteeing a correct visualisation of the document on browsers. We will not ask you to prepare also the PDF version of your paper if you will submit in HTML. In addition, authors who are new to HTML submissions may consider to use either RASH or dokieli.
RASH
The Research Articles in Simplified HTML (RASH) format allows one to easily prepare a scientific paper in HTML format. RASH is a Web-first format composed by a few of the available HTML tags and allows one to add RDF annotations by means of Turtle, JSON-LD, RDF/XML, and RDFa. The earliest version of the RASH format is fully introduced in its documentation page (written in RASH), which includes several examples. The complete RelaxNG grammar of the language is available online. . Several other examples of RASH papers accepted to several venues are also available online at https://github.com/essepuntato/rash/#rash-papers-accepted-in-scholarly-venues. There are four possible ways for writing a RASH document:
- Use the native RASH wordprocessor, i.e. RAJE (available for Apple, Windows, and Linux);
- Use OpenOffice Writer following the instructions available on the RASH repository for preparing your paper, and then use the RASH online conversion service for converting it in RASH;
- Use Microsoft Word following the instructions available on the RASH repository for preparing your paper, and then use the RASH online conversion service for converting it in RASH;
- Use any text editor and follows the rules introduced in the RASH documentation page - note that the whole style package of RASH is also available as a ZIP archive.
dokieli
Dokieli is a client-side editor for decentralized article publishing in HTML+RDF annotations and social interactions, compliant with the Linked Research initiative (see the LNCS author guidelines as an example template). It includes a variety of features such as annotations, e.g. replies, peer-reviews, liking, resharing, bookmarking (implements W3C Web Annotation model) and notifications (implements W3C Linked Data Notifications). Articles as well as reviews can be notified to the Linked Open Research Cloud using dokieli.
The following steps devote to simple writing:
- If you want to work offline or on your local machine, open a dokieli file in your Web browser and edit. You have the option to export the document or use the Web browser’s native local storage. The dokieli repository includes examples in the wild using the LNCS author guidelines as a template. If you want to start from scratch, simply include the dokieli CSS and JavaScript to any existing HTML document to immediately add in-browser editing and annotations. See also the documentation for common HTML+RDFa patterns for articles and reviews.
- If you have a WebID and a personal online storage, you can author your documents wherever you like on the Web, and you can decide who gets to read and write, e.g., your co-authors, or reviewers. Simply publish your article on any Web server that supports HTML.
ODT
An ODT file formatted according to the guidelines included in the RASH GitHub repository. Note that if you will follow strictly these guidelines we will not ask you to prepare also the PDF version of your paper.
DOCX
A DOCX file formatted according to the guidelines included in the RASH GitHub repository. Note that if you will follow strictly these guidelines we will not ask you to prepare also the PDF version of your paper.
A PDF file formatted according to the Springer LNCS template.
Kinds of paper
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. We invite four kinds of submissions:
- full research papers (max. 8300 words)
- position papers (max. 5500 words)
- 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.
Review process and evaluation of submissions
The submitted papers will be publicly posted on the SAVE-SD 2018 web site upon submission. The authors will be known to reviewers (i.e., submissions are NOT anonymous). SAVE-SD 2018 will encourage reviewers to sign their reviewers. However, reviewers can decide not to sign them, and thus the review will be anonymous. The reviews will be made publicly available on the SAVE-SD 2018 website in CC-BY upon final notification, including reviewer identity if they had signed the reviews. On explicit request made by the authors, the rejected papers and/or their reviews will be removed from the SAVE-SD 2018 website. 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 (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.
Proceedings and Special Issue
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 (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, and it will include the paper accepted in SAVE-SD 2017 and SAVE-SD 2018. Please note that at least one author is required to register for the conference and to present their work at the workshop, in order for the paper to be included in the proceedings. 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.
Best paper 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 paper. The decision will be taken by considering the feedback provided by the reviewers as well as the quality of the presentation at the workshop.
Important Dates
- Submission deadline
Preliminary abstract submission: 26 January 2018, 23:59 Hawaii Time (sharp) Papers submission deadline: 2 February 2018, 23:59 Hawaii Time (sharp)
- Acceptance notification
Papers acceptance notification: 19 February 2018, 23:59 Hawaii Time (sharp)
- Registration
Conference early-bird registrations deadline: 21 February 2018, 23:59 Hawaii Time (sharp)
- Camera ready deadline
Papers camera ready version due: 04 March 2018, 23:59 Hawaii Time (sharp)
- Post-proceedings deadline
Papers final version due: 15 May 2018, 23:59 Hawaii Time (sharp)
Committees
- Senior Program Committee
- Aldo Gangemi, Université de Paris 13, France, and CNR, Italy
- Daniel Schwabe, Pontifical Catholic University of Rio de Janeiro, Brazil
- Enrico Motta, Open University, UK
- Fabio Vitali, University of Bologna, Italy
- Ivan Herman, Digital Publishing Lead, W3C
- Pascal Hitzler, Wright State University, USA
- Simone Teufel, University of Cambridge, UK
- Susanna Assunta Sansone, University of Oxford and NPG, UK
- Timothy W. Clark, Harvard University, USA
- Workshop Chairs
- Alejandra Gonzalez-Beltran, Oxford e-Research Centre, University of Oxford, Oxford, UK
- Francesco Osborne, Knowledge Media Institute, Open University, Milton Keynes, UK
- Silvio Peroni, Department of Computer Science and Engineering, University of Bologna, Bologna, Italy
- Sahar Vahdati, Enterprise Information Systems, University of Bonn, Bonn, Germany
- Industrial Program Committee
- Alex Wade, Microsoft Research
- Aliaksandr Birukou, Springer
- Anita de Waard, Elsevier
- Anna Tordai, Elsevier
- Christoph Lange, CEUR-WS.org
- Eric Prud'hommeaux, W3C
- Kris Jack, Mendeley
- Laurel L. Haak, ORCID
- Lyubomir Penev, Pensoft Publishers
- Maarten Fröhlich, IOS Press
- Michele Pasin, Springer Nature
- Patricia Feeney, CrossRef
- Paul Groth, Elsevier Labs, The Netherlands
- Petr Knoth, Mendeley
- Scott Edmunds, GigaScience and BioMed Central
- Thomas Ingraham, F1000Research
- Academic Program Committee
- Alexander García Castro, Florida State University, USA
- Andrea Bonaccorsi, University of Pisa, Italy
- Andrea Giovanni, ISTC-CNR Rome, Italy
- Angelo Di Iorio, University of Bologna, Italy
- Angelo Salatino, The Open University, UK
- Anna Lisa Gentile, University of Mannheim, Germany
- Asunción Gómez Pérez, UPM, Spain
- Bahar Sateli, Concordia University, Canada
- Daniel Garijo, UPM, Spain
- Davide Buscaldi, Université de Paris 13, France
- Eamonn Maguire, CERN, Switzerland
- Francesco Poggi, University of Bologna, Italy
- Francesco Ronzano, Universitat Pompeu Fabra, Spain
- Ilaria Tiddi, Open University, UK
- Jodi Schneider, University of Pittsburgh, USA
- Leyla Jael García Castro, University of Munich, Germany
- Mathieu d'Aquin, Open University, UK
- Oscar Corcho, UPM, Spain
- Paolo Ciancarini, University of Bologna, Italy
- Paolo Ciccarese, Harvard University, USA
- Philippe Rocca-Serra, University of Oxford, UK
- Rinke Hoekstra, VU Amsterdam, The Netherlands
- Rob Davey, Genome Analysis Centre, UK
- Simon Harper, University of Manchester, UK
- Stefan Dietze, L3S Research Center, Germany
- Steffen Lohmann, University of Stuttgart, Germany
- Steve Pettifer, University of Manchester, UK
- Tom Heath, Open Data Institute, UK
- Tomi Kauppinen, Aalto University, Finland, and University of Münster, Germany
- Tudor Groza, Garvan Institute of Medical Research, Australia
- Ying Ding, Indiana University, USA
