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Semantic Facets for Scientific Information Retrieval

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Semantic Web Evaluation Challenge (SemWebEval 2014)

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

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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.

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References

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Acknowledgments

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

Author information

Authors and Affiliations

  1. CIRST, Université du Québec à Montréal, Succ. Centre-ville, B.P. 8888, Montreal, QC, H3C 3P8, Canada

    Iana Atanassova & Marc Bertin

Authors
  1. Iana Atanassova
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  2. Marc Bertin
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Corresponding author

Correspondence to Iana Atanassova .

Editor information

Editors and Affiliations

  1. Semantic Technology Laboratory, ISTC-CNR, Rome, Italy

    Valentina Presutti

  2. Université Paris-Sorbonne,, Paris, France

    Milan Stankovic

  3. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Erik Cambria

  4. Universidad Autónoma de Madrid, Madrid, Spain

    Iván Cantador

  5. University of Bologna, Bologna, Italy

    Angelo Di Iorio

  6. Polytechnic University of Bari, Bari, Italy

    Tommaso Di Noia

  7. University of Birmingham, Birmingham, United Kingdom

    Christoph Lange

  8. ISTC-CNR, Semantic Technology Laboratory, Rome, Italy

    Diego Reforgiato Recupero

  9. Elsevier B.V., Amsterdam, The Netherlands

    Anna Tordai

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© 2014 Springer International Publishing Switzerland

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Atanassova, I., Bertin, M. (2014). Semantic Facets for Scientific Information Retrieval. In: Presutti, V., et al. Semantic Web Evaluation Challenge. SemWebEval 2014. Communications in Computer and Information Science, vol 475. Springer, Cham. https://doi.org/10.1007/978-3-319-12024-9_14

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  • DOI: https://doi.org/10.1007/978-3-319-12024-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12023-2

  • Online ISBN: 978-3-319-12024-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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