AgreementMakerLight 2.0: Towards Efficient Large-Scale Ontology Matching

Ontology matching is a critical task to realize the Semantic Web vision, by enabling interoperability between ontologies. However, handling large ontologies efficiently is a challenge, given that ontology matching is a problem of quadratic complexity. AgreementMakerLight (AML) is a scalable automated ontology matching system developed to tackle large ontology matching problems, particularly for the life sciences domain. Its new 2.0 release includes several novel features, including an innovative algorithm for automatic selection of background knowledge sources, and an updated repair algorithm that is both more complete and more efficient. AML is an open source system, and is available through GitHub 1 both for developers (as an Eclipse project) and end-users (as a runnable Jar with a graphical user interface). In this demo, we will be demonstrating AML both from the developer and the end-user perspective, using ontology matching tasks from the Ontology Alignment Evaluation Initiative and ontologies collected from BioPortal as examples.