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Ontology-Driven Information Extraction from Research Publications

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Digital Libraries for Open Knowledge (TPDL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11057))

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Abstract

Extraction of information from a research article, association with other sources and inference of new knowledge is a challenging task that has not yet been entirely addressed. We present Research Spotlight, a system that leverages existing information from DBpedia, retrieves articles from repositories, extracts and interrelates various kinds of named and non-named entities by exploiting article metadata, the structure of text as well as syntactic, lexical and semantic constraints, and populates a knowledge base in the form of RDF triples. An ontology designed to represent scholarly practices is driving the whole process. The system is evaluated through two experiments that measure the overall accuracy in terms of token- and entity- based precision, recall and F1 scores, as well as entity boundary detection, with promising results.

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Notes

  1. 1.

    https://orcid.org/.

  2. 2.

    https://www.crummy.com/software/BeautifulSoup/.

  3. 3.

    https://spacy.io/.

  4. 4.

    https://nlp.stanford.edu/software/CRF-NER.html.

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Author information

Authors and Affiliations

  1. Department of Informatics, Athens University of Economics and Business, Athens, Greece

    Vayianos Pertsas & Panos Constantopoulos

  2. Digital Curation Unit, Athena Research Centre, Athens, Greece

    Panos Constantopoulos

Authors
  1. Vayianos Pertsas
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  2. Panos Constantopoulos
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Corresponding author

Correspondence to Vayianos Pertsas .

Editor information

Editors and Affiliations

  1. University Carlos III, Madrid, Spain

    Eva Méndez

  2. USI, Università della Svizzera Italiana, Lugano, Switzerland

    Fabio Crestani

  3. INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

    Cristina Ribeiro

  4. INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

    Gabriel David

  5. INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

    João Correia Lopes

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Pertsas, V., Constantopoulos, P. (2018). Ontology-Driven Information Extraction from Research Publications. In: Méndez, E., Crestani, F., Ribeiro, C., David, G., Lopes, J. (eds) Digital Libraries for Open Knowledge. TPDL 2018. Lecture Notes in Computer Science(), vol 11057. Springer, Cham. https://doi.org/10.1007/978-3-030-00066-0_21

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  • DOI: https://doi.org/10.1007/978-3-030-00066-0_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00065-3

  • Online ISBN: 978-3-030-00066-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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