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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Format: | Electronic eBook |
Language: | English |
Published: |
Boston, MA :
Springer US,
2007.
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Series: | Semantic Web and Beyond, Computing for Human Experience,
4 |
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Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.