AgreementMakerLight: A Scalable Automated Ontology Matching System

نویسندگان

  • Daniel Faria
  • Catia Pesquita
  • Emanuel Santos
  • Isabel F. Cruz
  • Francisco M. Couto
چکیده

Ontology matching is a critical task to enable interoperability between the numerous life sciences ontologies with overlapping domains. However, it is a task made difficult by the size of many of these ontologies. AgreementMakerLight (AML) is a scalable automated ontology matching system developed primarily for the life sciences domain. It can handle large ontologies efficiently, specializes in the use of background knowledge, includes an innovative alignment repair algorithm, and features a graphical user interface which makes it easy to use. AML has obtained top results in matching life sciences ontologies in the Ontology Alignment Evaluation Initiative, and is being used in several other applications.

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تاریخ انتشار 2014