Details
Ontology Alignment
Bridging the Semantic GapSemantic Web and Beyond, Band 4
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96,29 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 22.12.2006 |
| ISBN/EAN: | 9780387365015 |
| Sprache: | englisch |
| Anzahl Seiten: | 248 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<P>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.</P>
<P><STRONG>Ontology Alignment: Bridging the Semantic Gap</STRONG> 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.</P>
<P>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.</P>
<P> </P>
<P><STRONG>Ontology Alignment: Bridging the Semantic Gap</STRONG> 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.</P>
<P>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.</P>
<P> </P>
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.
<P>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.</P>
<P><STRONG>Ontology Alignment: Bridging the Semantic Gap</STRONG> 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.</P>
<P>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.</P>
<P><STRONG>Ontology Alignment: Bridging the Semantic Gap</STRONG> 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.</P>
<P>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.</P>
Ground-breaking research on ontology alignment Includes a thorough investigation of the foundations including related work and application scenarios with their respective requirements Pointers to future steps in ontology alignment with conclusion linking this work to the knowledge society Includes supplementary material: sn.pub/extras
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