Ontology Alignment Bridging the Semantic Gap /

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 centra...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ehrig, Marc (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Semantic Web and Beyond, Computing for Human Experience ; 4
Temas:
Computer networks .
Application software.
Artificial intelligence.
Multimedia systems.
Electronic commerce.
Computer Communication Networks.
Computer and Information Systems Applications.
Artificial Intelligence.
Multimedia Information Systems.
e-Commerce and e-Business.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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