Zusammenfassung
Ontologies are viewed as the silver bullet for many applications:
database integration, peer-to-peer systems, e-commerce, semantic
web services, social networks and more. However, in open or evolving
systems, different parties can adopt different ontologies. Instead
of reducing heterogeneity, this raises heterogeneity problems to
a higher level.
This book proposes ontology matching as a solution to the problem
of semantic heterogeneity. Ontology matching seeks correspondences
between semantically related entities of different ontologies. In
addition to equivalence, it explores relations such as consequence,
subsumption, or disjointness between ontology entities. The book
also describes a variety of matching tools: databases, information
systems, artificial intelligence.
Ontology Matching offers researchers and practitioners a reference
to currently available work in a uniform framework. In particular,
the techniques presented in this book can equally be applied to database
schema matching, catalog integration, XML schema matching and other
related problems. The objectives of the book include presenting the
state of the art, and presenting the latest research results in ontology
matching by providing a logical account of matching techniques and
matching systems from theoretical, practical and application perspectives.
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