Academic Workshop on Semantics, Analytics, Visualisation: Enhancing Scholarly Data - 19 May 2015, Florence

Tue 19 May 2015

• About the workshop
• Topics of interest
• Important dates
• Submission
• Evaluation of submissions
• Publication venues

About the workshop

The main goal of the SAVE-SD workshop is to bring together publishers, companies and researchers from different fields (among which Document and Knowledge Engineering, Semantic Web, Natural Language Processing, Scholarly Communication, Bibliometrics, and Human-Computer Interaction) in order to bridge the gap between the theoretical/academic and practical/industrial aspects in regards to scholarly data.

The following fields 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 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 and 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: January 24, 2015 (23:59 Hawaii Standard Time)
• Acceptance notification: February 22, 2015
• Camera ready deadline: March 8, 2015

 

Submissions

SAVE-SD welcomes the submission of original research and application papers dealing with the tree aforementioned field. We encourage theoretical, methodological, empirical and applications papers. We appreciate the submission of papers incorporating links to data sets 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:

• PDF, a file formatted according to the ACM SIG Proceeding template;
• HTML, a zip archive containing an HTML file compliant with the Research Articles in Simplified HTML (RASH) format.

We invite four kinds of submissions:

• full research papers (max. 6 pp. in PDF or 5400 words in HTML)
• position papers (max. 4 pp. in PDF or 3600 words in HTML)
• demo papers (max. 2 pp. in PDF or 1800 words in HTML)   
• poster papers (max. 2 pp. in PDF or 1800  words in HTML)

All the aforementioned limits include metadata (title, authors, keywords, ACM categories, abstract), acknowledgements, references and the whole content of the paper. In the HTML format, figures and tables count 300 words each.

Submissions and reviewing will be supported by the EasyChair system:
https://easychair.org/conferences/?conf=savesd2015

 

Evaluation of submissions

In order to evaluate the submitted papers, we have three different program committees:

• 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

The proceedings of SAVE-SD will be collected in the Companion volume of the WWW 2015 conference, which will be published by ACM in its digital library. The WWW 2015 organisers will require at least one registration per paper published in the Companion volume. At the time of submission of the final camera-ready copy, authors will have to indicate the already registered person for that publication.

In addition, the authors of the best papers of the workshop will be invited to submit an extended version of their work to a special issue that will be published as part of the Journal of Documentation, one of the longest established academic journals in library and information science (2013 Impact Factor: 1.035; indexed in several citation services, among which Elsevier's Scopus and Thomson Reuters' Journal Citation Reports).