Abstract. Semantic matching of schemas in heterogeneous data sharing systems is time consuming and error prone. Existing mapping tools employ semi-automatic techniques for mapping ...
We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms [3]. COMA+...
David Aumueller, Hong Hai Do, Sabine Massmann, Erh...
Schema matching is the task of finding semantic correspondences between elements of two schemas. It is needed in many database applications, such as integration of web data source...
Recently, schema mapping has found considerable interest in both research and practice. Determining matching components of database or XML schemas is needed in many applications, e...
In a world of wide-scale information sharing, the decentralized coordination has to consolidate a variety of heterogeneity. Shared data are described in different formats, i.e. da...