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Ehrig

Ontology Alignment

Bridging the Semantic Gap

Medium: Buch
ISBN: 978-0-387-32805-8
Verlag: Springer Nature Singapore
Erscheinungstermin: 12.10.2006
Lieferfrist: bis zu 10 Tage
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.

Produkteigenschaften


  • Artikelnummer: 9780387328058
  • Medium: Buch
  • ISBN: 978-0-387-32805-8
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 12.10.2006
  • Sprache(n): Englisch
  • Auflage: 2007. Auflage 2006
  • Serie: Semantic Web and Beyond
  • Produktform: Gebunden
  • Gewicht: 1220 g
  • Seiten: 248
  • Format (B x H x T): 162 x 242 x 24 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Autoren

Ehrig, Marc

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.