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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Ehrig, Marc (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2007.
Σειρά:Semantic Web and Beyond, Computing for Human Experience, 4
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.