Matching disease and phenotype ontologies in the ontology alignment evaluation initiative.

Journal: Journal of biomedical semantics
Published Date: Dec 2, 2017

Abstract

BACKGROUND: The disease and phenotype track was designed to evaluate the relative performance of ontology matching systems that generate mappings between source ontologies. Disease and phenotype ontologies are important for applications such as data mining, data integration and knowledge management to support translational science in drug discovery and understanding the genetics of disease.

Authors

  • Ian Harrow
    Pistoia Alliance Ontologies Mapping Project, Pistoia Alliance Inc, USA. ian.harrow@pistoiaalliance.org.
  • Ernesto JimĂ©nez-Ruiz
    Department of Informatics, University of Oslo, Oslo, Norway.
  • Andrea Splendiani
    Novartis, Basel, Switzerland.
  • Martin Romacker
    Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center, Basel, Switzerland.
  • Peter Woollard
    GlaxoSmithKline R&D, Stevenage, UK.
  • Scott Markel
    BIOVIA 3DS, San Diego, USA.
  • Yasmin Alam-Faruque
    Eagle Genomics, Cambridge, UK.
  • Martin Koch
    OSTHUS, Aachen, Germany.
  • James Malone
    European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Arild Waaler
    Department of Informatics, University of Oslo, Oslo, Norway.

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