Tackling the challenges of matching biomedical ontologies.

Journal: Journal of biomedical semantics
Published Date: Jan 15, 2018

Abstract

BACKGROUND: Biomedical ontologies pose several challenges to ontology matching due both to the complexity of the biomedical domain and to the characteristics of the ontologies themselves. The biomedical tracks in the Ontology Matching Evaluation Initiative (OAEI) have spurred the development of matching systems able to tackle these challenges, and benchmarked their general performance. In this study, we dissect the strategies employed by matching systems to tackle the challenges of matching biomedical ontologies and gauge the impact of the challenges themselves on matching performance, using the AgreementMakerLight (AML) system as the platform for this study.

Authors

  • Daniel Faria
    Department of Cardiology, Hospital Professor Fernando Fonseca, IC19, Amadora, 2720-276, Lisbon, Portugal.
  • Catia Pesquita
    Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, Portugal.
  • Isabela Mott
    LASIGE, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal.
  • Catarina Martins
    Marine Harvest ASA , Sandviksboder 77AB, Bergen, 5035 Bergen, Norway.
  • Francisco M Couto
    Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, Portugal.
  • Isabel F Cruz
    ADVIS Lab, Department of Computer Science, University of Illinois at Chicago, 851 S. Morgan St., Chicago, Illinois, USA.

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