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AgreementMakerLight (AML) is an automated ontology matching system based primarily on element-level matching and on the use of external resources as background knowledge. This paper describes its configuration for the OAEI 2016 competition and discusses its results. For this OAEI edition, we tackled instance matching for the first time, thus expanding the coverage of AML to all types of ontology matching tasks. We also explored OBO logical definitions to match ontologies for the first time in the OAEI. AML was the top performing system in five tracks (including the Instance and instance-based Process Model tracks) and one of the top performing systems in three others (including the novel Disease and Phenotype track, in which it was one of three prize recipients).
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AML and AMLC Results for OAEI 2019
AgreementMakerLight (AML) is an ontology matching system designed with scalability, extensibility and satisfiability as its primary guidelines, as well as an emphasis on the ability to incorporate external knowledge. In OAEI 2019, AML’s development focused mainly on expanding its range of complex matching algorithms, but there were also improvements on its instance matching pipeline and ontology parsing algorithm. AML remains the system with the broadest coverage of OAEI tracks, and among the top performing systems overall.
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- PAR ID:
- 10203532
- Editor(s):
- Shvaiko, Pavel; Euzenat, Jérôme; Jiménez-Ruiz, Ernesto; Hassanzadeh, Oktie; Trojahn, Cássia
- Date Published:
- Journal Name:
- Proceedings of the 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference (ISWC)
- Volume:
- 2536
- Page Range / eLocation ID:
- 101 - 106
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
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- The DOI is not currently available.
