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Semantic Software Lab
Concordia University
Montréal, Canada

SAVE-SD 2015 Workshop on Semantics, Analytics, Visualisation: Enhancing Scholarly Data

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2015-05-19 08:30

The main goal of this workshop is bringing 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 topics will be addressed:

  • semantics of scholarly data, i.e. how to semantically represent, categorize, 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.