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Ontology-Based Information Retrieval: Development of a Semantic-Based Tool for the Media Industry

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Metadata and Semantic Research (MTSR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 846))

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Abstract

This paper describes the creation of an RDF ontology designed to support information retrieval needs of journalists and media professionals.

The purpose of the ontology is to complete the automated extensions of query terms by using the relationships between the concepts and terms registered in the ontology. By using this ontology, end-users can identify additional concepts that are related to the selected topic, and incorporate new terms to the query that will be later launched against a full-text indexer based on SOLR.

The ontology focuses on politics, and has been successfully tested with the collaboration of a large Spanish media company. The ontology contributes to a better recall of the search results.

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Author information

Authors and Affiliations

  1. Universidad Carlos III de Madrid, c/Madrid, Getafe, Madrid, Spain

    Ricardo Eito-Brun

Authors
  1. Ricardo Eito-Brun
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Correspondence to Ricardo Eito-Brun .

Editor information

Editors and Affiliations

  1. Alexander Technological Educational Institute (ATEI) of Thessaloniki, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

    Fabio Sartori

  3. Alexander Technological Educational Institute (ATEI) of Thessaloniki, Thessaloniki, Greece

    Rania Siatri

  4. Library and Information Services, Cyprus University of Technology, Limassol, Cyprus

    Marios Zervas

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Eito-Brun, R. (2019). Ontology-Based Information Retrieval: Development of a Semantic-Based Tool for the Media Industry. In: Garoufallou, E., Sartori, F., Siatri, R., Zervas, M. (eds) Metadata and Semantic Research. MTSR 2018. Communications in Computer and Information Science, vol 846. Springer, Cham. https://doi.org/10.1007/978-3-030-14401-2_18

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  • DOI: https://doi.org/10.1007/978-3-030-14401-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14400-5

  • Online ISBN: 978-3-030-14401-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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