Schema / ontology matching is the task of finding semantic correspondences between elements of two schemas or two ontologies. It is needed in many metadata-intensive applications, such as integration of web data sources, catalog integration/merging, data warehouse loading, XML message mapping and peer-to-peer data management. Currently, such matching tasks are largely performed manually by domain experts, and therefore they are time-consuming, tedious and error-prone. Approaches for automating the schema and ontology matching tasks as much as possible are needed to simplify and speed up the development, maintenance and use of metadata-intensive applications.
Our contributions to semi-automatic schema and ontology matching are as follows:
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