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Computer Science - Communication Networks | Ontology Alignment - Bridging the Semantic Gap

Ontology Alignment

Bridging the Semantic Gap

Series: Semantic Web and Beyond, Vol. 4

Ehrig, Marc

2007, XVII, 247 p.

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  • About this book

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.

Content Level » Research

Keywords » Bridging - Data Integration - Gap - Information Systems - Internet - Language - Machine Learning - Ontology Alignment - Peer - Peer-to-peer - Semantic - Semantic Web

Related subjects » Artificial Intelligence - Business Information Systems - Communication Networks - Database Management & Information Retrieval - Information Systems and Applications

Table of contents / Sample pages 

and Overview.- and Overview.- Foundations.- Definitions.- Scenarios.- Related Work.- Ontology Alignment Approach.- Process.- Advanced Methods.- Implementation and Application.- Tools.- Semantic Web and Peer-to-Peer — SWAP.- Semantically Enabled Knowledge Technologies — SEKT.- Towards Next Generation Semantic Alignment.- Next Steps.- Future.- Conclusion.

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