A large number of information systems use many different individual
schemas to represent data. Semantically linking these schemas is a
necessary precondition to establish interoperability between agents and
services. Consequently, ontology alignment and mapping for data
integration has become central to building a world-wide semantic web.
Ontology Alignment: Bridging the Semantic Gap introduces novel
methods and approaches for semantic integration. In addition to
developing new methods for ontology alignment, the author provides
extensive explanations of up-to-date case studies. The topic of this
book, coupled with the application-focused methodology, will appeal to
professionals from a number of different domains.
Designed for practitioners and researchers in industry, Ontology
Alignment: Bridging the Semantic Web Gap is also suitable for
advanced-level students in computer science and electrical engineering.