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
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100 1 |a Ehrig, Marc.  |e author. 
245 1 0 |a Ontology Alignment  |h [electronic resource] :  |b Bridging the Semantic Gap /  |c by Marc Ehrig. 
264 1 |a Boston, MA :  |b Springer US,  |c 2007. 
300 |a XVIII, 248 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Semantic Web and Beyond, Computing for Human Experience,  |x 1559-7474 ;  |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 science. 
650 0 |a Computer communication systems. 
650 0 |a Computers. 
650 0 |a Multimedia information systems. 
650 0 |a Artificial intelligence. 
650 0 |a E-commerce. 
650 1 4 |a Computer Science. 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Information Systems Applications (incl. Internet). 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Information Systems and Communication Service. 
650 2 4 |a Multimedia Information Systems. 
650 2 4 |a e-Commerce/e-business. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9780387328058 
830 0 |a Semantic Web and Beyond, Computing for Human Experience,  |x 1559-7474 ;  |v 4 
856 4 0 |u http://dx.doi.org/10.1007/978-0-387-36501-5  |z Full Text via HEAL-Link 
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950 |a Computer Science (Springer-11645)