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Extraction and Characterization of Citations in Scientific Papers

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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 propose a hybrid method for the extraction and characterization of citations in scientific papers using machine learning combined with rule-based approaches. Our protocol consists of the extraction of metadata, bibliography parsing, section titles processing, and find-grained semantic annotation on the sentence level of texts. This allows us to generate Linked Open Data from a set of research papers in XML.

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Notes

  1. 1.

    PubMed ID Converter API: http://www.ncbi.nlm.nih.gov/pmc/tools/id-converter- api/

  2. 2.

    The D2RQ Platform is a system for accessing relational databases as RDF graphs: http://d2rq.org/

  3. 3.

    http://purl.org/spar/biro

References

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Acknowledgments

We thank Angelo Di Iorio at the Department of Computer Science and Engineering (DISI) of the University of Bologna for providing the gold standard and the evaluation.

Author information

Authors and Affiliations

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

    Marc Bertin & Iana Atanassova

Authors
  1. Marc Bertin
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  2. Iana Atanassova
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Corresponding author

Correspondence to Marc Bertin .

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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Bertin, M., Atanassova, I. (2014). Extraction and Characterization of Citations in Scientific Papers. 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_16

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  • DOI: https://doi.org/10.1007/978-3-319-12024-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12023-2

  • Online ISBN: 978-3-319-12024-9

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