Semantic Facets for Scientific Information Retrieval

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 475)

Abstract

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.

Keywords

Semantic annotation Information retrieval Faceted search Semantic facets Solr 

Notes

Acknowledgments

We thank Benoît Macaluso of the Observatoire des Sciences et des Technologies (OST), Montreal, Canada, for harvesting and providing the PLOS dataset.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.CIRSTUniversité du Québec à MontréalMontrealCanada

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