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Conference of the Spanish Association for Artificial Intelligence

CAEPIA 2011: Advances in Artificial Intelligence pp 473–482Cite as

Ontology-Driven Method for Integrating Biomedical Repositories

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7023))

Abstract

Handling the increasing number of biological repositories and the growing amount of information they contain is a significant challenge for researchers. Thus, Semantic Web Technologies are the basis of the new approaches that are dealing with such challenges. In this paper, we describe a methodology to manage the integration of biomedical repositories into a knowledge base. This method is based on the explicit definition of the mappings between relational resources and the domain ontology and the conditions that determine the identity of a particular instance. We will describe both the method and its application to the OGO system which integrates orthologous genes and genetic diseases repositories into an ontological knowledge base.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, University of Murcia, Spain

    José Antonio Miñarro-Giménez & Jesualdo Tomás Fernández-Breis

Authors
  1. José Antonio Miñarro-Giménez
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  2. Jesualdo Tomás Fernández-Breis
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Editor information

Editors and Affiliations

  1. Computer Science School, University of the Basque Country, Pº Manuel de Lardizabal 1, 20018, Donostia-San Sebastian, Spain

    Jose A. Lozano

  2. Computing Systems Department, University of Castilla-La Mancha, Campus Universitario s/n, 02071, Albacete, Spain

    José A. Gámez

  3. Dep. Statistics, O.R. and Computation, University of La Laguna, 38271, La Laguna, S.C. Tenerife, Spain

    José A. Moreno

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© 2011 Springer-Verlag Berlin Heidelberg

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Miñarro-Giménez, J.A., Fernández-Breis, J.T. (2011). Ontology-Driven Method for Integrating Biomedical Repositories. In: Lozano, J.A., Gámez, J.A., Moreno, J.A. (eds) Advances in Artificial Intelligence. CAEPIA 2011. Lecture Notes in Computer Science(), vol 7023. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25274-7_48

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  • DOI: https://doi.org/10.1007/978-3-642-25274-7_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25273-0

  • Online ISBN: 978-3-642-25274-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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