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Ontology Extension and Population: An Approach for the Pharmacotherapeutic Domain

  • Conference paper
Natural Language Processing and Information Systems (NLDB 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6716))

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Abstract

For several years ontologies have been seen as a solution to share and reuse knowledge between humans and machines. An ontology is a knowledge photography at the moment of its creation. Nevertheless, in order to keep an ontology useful throughout time, it must be expanded and maintained regularly, mainly in the pharmacotherapeutic domain. Drug-therapy needs up-to-date and reliable information. Unfortunately, achieving a systematic ontology updating has is an arduous and a tedious task that becomes a bottleneck. To limit this obstacle we need methods that expedite the process of extension and population.This proposal aims the designing and validating method able to extract, from a corpus of summary of product characteristics and a pharmacotherapeutic ontology, the relevant knowledge to be added to the ontology.

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Author information

Authors and Affiliations

  1. Department of Software and Computer Systems, University of Alicante, Mail Box 99, Alicante, Spain

    Jorge Cruanes

Authors
  1. Jorge Cruanes
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Editors and Affiliations

  1. School of Computing, University of Alicante, 03080, Alicante, Spain

    Rafael Muñoz

  2. Department of Software and Computing Systems, University of Alicante, Aptdo. de Correos 99, 03080, Alicante, Spain

    Andrés Montoyo

  3. CNAM- Laboratoire Cédric, 292 Rue St. Martin, 75141, Paris Cedex 03, France

    Elisabeth Métais

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Cruanes, J. (2011). Ontology Extension and Population: An Approach for the Pharmacotherapeutic Domain. In: Muñoz, R., Montoyo, A., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2011. Lecture Notes in Computer Science, vol 6716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22327-3_51

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  • DOI: https://doi.org/10.1007/978-3-642-22327-3_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22326-6

  • Online ISBN: 978-3-642-22327-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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