Approaching the axiomatic enrichment of the Gene Ontology from a lexical perspective.

Journal: Artificial intelligence in medicine
Published Date:

Abstract

OBJECTIVE: The main goal of this work is to measure how lexical regularities in biomedical ontology labels can be used for the automatic creation of formal relationships between classes, and to evaluate the results of applying our approach to the Gene Ontology (GO).

Authors

  • Manuel Quesada-Martínez
    Facultad de Informática, Campus de Espinardo, Universidad de Murcia, 30100 Murcia, Spain. Electronic address: manuel.quesada@um.es.
  • Eleni Mikroyannidi
    School of Computer Science, The University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom. Electronic address: eleni.mikroyannidi@manchester.ac.uk.
  • Jesualdo Tomás Fernández-Breis
    Faculty of Computer Science, Universidad de Murcia, IMIB-Arrixaca, Spain.
  • Robert Stevens
    School of Computer Science, The University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom. Electronic address: robert.stevens@manchester.ac.uk.