Buch, Englisch, Band 4, 248 Seiten, Format (B × H): 162 mm x 242 mm, Gewicht: 1220 g
Reihe: Semantic Web and Beyond
Bridging the Semantic Gap
Buch, Englisch, Band 4, 248 Seiten, Format (B × H): 162 mm x 242 mm, Gewicht: 1220 g
Reihe: Semantic Web and Beyond
ISBN: 978-0-387-32805-8
Verlag: Springer Us
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.
Zielgruppe
Academic and industry research scientists and developers Information Systems and Communication Service, Database Management, Information Systems Applications (incl.Internet), Multimedia Information Systems, Artificial Intelligence (incl. Robotics), Electronic Commerce/e-business
Autoren/Hrsg.
Weitere Infos & Material
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.
