Semantics, Analytics, Visualisation: Enhancing Scholarly Data Workshop

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