Marc Ehrig

Ontology Alignment

Bridging the Semantic Gap

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Semantic Web and Beyond 4
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4419-4104-6
• Softcover reprint of hardcover 1st ed. 2007
• Seitenzahl: 268
• Erscheinungstermin: 19. November 2010
• Englisch
• Abmessung: 229mm x 152mm x 15mm
• Gewicht: 410g
• ISBN-13: 9781441941046
• ISBN-10: 1441941045
• Artikelnr.: 32110616

Inhaltsangabe

Introduction and Overview: Motivation, Contribution, Overview.- Foundations: Ontology, Ontology Alignment, Further Terms, Ontology Similarity, Use Cases, Requirements.- Related Work: Theory of Alignment, Existing Alignment Approaches.- Alignment Process: General Ontology Alignment Process, Alignment Approach, Process for Related Approaches, Evaluation.- Advanced Novel Methods: Efficiency, Machine Learning, Active Alignment, Adaptive Alignment, Integrated Approach.- Tools and Applications: Basic Infrastructure, Ontology Mapping Based on Axioms, Ontology Engineering Platform, Semantic Web and Peer-to-Peer (SWAP), Semantically Enabled Knowledge Technologies (SEKT).- Next Steps: Generalization, Complex Alignments, Completeness of Alignments, Outlook.- Conclusion: Content Summary, Assessment of Contributions, Final Statements.