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Semantic Software Lab
Concordia University
Montréal, Canada

Semantic Publishing

Semantic Publishing related topics

Semantic User Profiling of Scholars (PeerJ CompSci 2016): Supplementary Material

Supplementary material for our PeerJ CompSci submission on Semantic User Profiling.

SAVE-SD 2016 Submission: Supplementary Material

This page provides supplementary material for our submission to the SAVE-SD 2016 workshop on Semantics, Analytics, Visualisation: Enhancing Scholarly Data. We have published our populated knowledge base from the experiments described in the paper.

Rhetector: Automatic Dection of Rhetorical Entities in Scientific Literature

Rhetector is a GATE plugin for the automatic detection of Rhetorical Entities (REs) in scientific literature. Rhetorical Entities are spans of text (sentences, passages, sections, etc.) in a document, where authors convey their findings, like Claims or Arguments, to the readers. We designed a lightweight pipeline to automatically detect rhetorical entities in scientific literature, currently limited to Claims and Contributions. The motivation and application behind Rhetector is described in our publication, Sumner, T. (Eds.), Sateli, B., and R. Witte, "Semantic representation of scientific literature: bringing claims, contributions and named entities onto the Linked Open Data cloud", PeerJ Computer Science, vol. 1, no. e37 PeerJ, 12/2015.

Semantic Management of Scholarly Literature: A Wiki-based Approach

Sokolova, M., and P. van Beek (Eds.), Sateli, B., "Semantic Management of Scholarly Literature: A Wiki-based Approach", The 27th Canadian Conference on Artificial Intelligence (Canadian AI 2014), vol. LNCS 8436, Montréal, Canada : Springer, pp. 387–392, 04/2014.
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