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Ontology Alignment: Bridging the Semantic Gap 2007 Edition
Contributor(s): Ehrig, Marc (Author)
ISBN: 038732805X     ISBN-13: 9780387328058
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Hardcover - Other Formats
Published: October 2006
Qty:
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.