Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes the ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data translation, query answering or navigation on the web of data. Thus, matching ontologies enables the knowledge and data expressed in the matched ontologies to interoperate.
Panel title: "What's the user to do? Ontology matching and the real world"
- Kavitha Srinivas, IBM, USA
- David Karger, MIT, USA
- Jacco van Ossenbruggen, VUA, NL
- Jessica Peterson, Elsevier, USA
Natasha Noy, Stanford University, USA
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- Pavel Shvaiko (TasLab, Informatica Trentina)
- Jérôme Euzenat (INRIA)
- Anastasios (Tasos) Kementsietsidis (IBM Research)
- Ming Mao (SAP Labs)
- Natasha Noy (Stanford Center for Biomedical Informatics Research)
- Heiner Stuckenschmidt (University of Mannheim)