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.
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