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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:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Ontology Alignment  |h [electronic resource] :  |b Bridging the Semantic Gap /  |c by Marc Ehrig. 
250 |a 1st ed. 2007. 
264 1 |a New York, NY :  |b Springer US :  |b Imprint: Springer,  |c 2007. 
300 |a XVIII, 248 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Semantic Web and Beyond, Computing for Human Experience ;  |v 4 
505 0 |a 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. 
520 |a 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. 
650 0 |a Computer networks . 
650 0 |a Application software. 
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650 0 |a Multimedia systems. 
650 0 |a Electronic commerce. 
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650 2 4 |a Artificial Intelligence. 
650 2 4 |a Multimedia Information Systems. 
650 2 4 |a e-Commerce and e-Business. 
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