Semantic Facets for Scientific Information Retrieval

Conference paper

DOI: 10.1007/978-3-319-12024-9_14

Part of the Communications in Computer and Information Science book series (CCIS, volume 475)
Cite this paper as:
Atanassova I., Bertin M. (2014) Semantic Facets for Scientific Information Retrieval. In: Presutti V. et al. (eds) Semantic Web Evaluation Challenge. SemWebEval 2014. Communications in Computer and Information Science, vol 475. Springer, Cham


We present an Information Retrieval System for scientific publications that provides the possibility to filter results according to semantic facets. We use sentence-level semantic annotations that identify specific semantic relations in texts, such as methods, definitions, hypotheses, that correspond to common information needs related to scientific literature. The semantic annotations are obtained using a rule-based method that identifies linguistic clues organized into a linguistic ontology. The system is implemented using Solr Search Server and offers efficient search and navigation in scientific papers.


Semantic annotation Information retrieval Faceted search Semantic facets Solr 

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.CIRSTUniversité du Québec à MontréalMontrealCanada

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