Comparison of Ontology Mapping Techniques to Map Plant Trait Ontologies

نویسندگان

  • Marie-Angélique Laporte
  • Léo Valette
  • Laurel Cooper
  • Chris Mungall
  • Austin Meier
  • Pankaj Jaiswal
  • Elizabeth Arnaud
چکیده

Crop specific ontologies for phenotype annotations in breeding have proliferated over the last 10 years. Across-crop data interoperability involves linking those ontologies together. For this purpose, the Planteome project is mapping the Crop Ontology traits (www.cropontology.org) to the reference ontology for plant traits, Trait Ontology (TO). Manual mapping is timeconsuming and not sustainable in the long-run as ontologies keep on evolving and multiplicating. We are thus working on developing reliable automated mapping techniques to assist curators in performing semantic integration. Our study shows the benefit of the ontology matching technique based on formal definitions and shared ontology design patterns, compared to standard automatic ontology matching algorithm, such as AML (AgreementMakerLight). Keywords—ontology mapping; ontology design patterns; reference ontologies

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تاریخ انتشار 2016