IP17: Comparison of ontology mapping techniques to map plant trait ontologies
|Title||IP17: Comparison of ontology mapping techniques to map plant trait ontologies|
|Publication Type||Conference Paper|
|Year of Publication||2016|
|Authors||Laporte M-A, Valette L, Cooper L, Mungall C, Meier A, Jaiswal P, Arnaud E|
|Conference Name||International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016)|
|Publisher||CEUR-ws.org Volume 1747|
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 time-consuming 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).