Poster Session: An Indexing Structure for Automatic Schema Matching

Interoperability among applications in distributed environments, including World-Wide Web and the emerging semantic Web, depends critically on the ability to map between them. Unfortunately, automated data integration, and more precisely matching between schema, is still largely done by hand, in a labor-intensive and error-prone process. As a consequence, semantic integration issues have become a key bottleneck in the deployment of a wide variety of information management applications. The high cost of this bottleneck has motivated numerous research activities on methods for describing, manipulating mid (semi-automatically) generating schema mappings.