Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more.
First state-of-the-art overview of techniques applicable to database schema matching and semantic web applications Summarizes research from database, information systems, and artificial intelligence communities Uniquely combines theoretical foundations with practical application perspectives