Ontology Alignment: Bridging the Semantic Gap 2007 Edition Contributor(s): Ehrig, Marc (Author) |
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ISBN: 038732805X ISBN-13: 9780387328058 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: October 2006 Annotation: 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. |
Additional Information |
BISAC Categories: - Computers | Information Technology - Computers | Databases - General - Computers | Intelligence (ai) & Semantics |
Dewey: 004 |
Series: Semantic Web and Beyond: Computing for Human Experience |
Physical Information: 0.88" H x 6.43" W x 9.19" (1.30 lbs) 248 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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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