TY  - BOOK
AU  - Ehrig,Marc
ED  - SpringerLink (Online service)
TI  - Ontology Alignment: Bridging the Semantic Gap 
T2  - Semantic Web and Beyond, Computing for Human Experience,
SN  - 9780387365015
AV  - QA76.76.A65 
U1  - 005.7 23
PY  - 2007///
CY  - Boston, MA
PB  - Springer US
KW  - Computer science
KW  - Information systems
KW  - Database management
KW  - Multimedia systems
KW  - Artificial intelligence
KW  - Electronic commerce
KW  - Computer Science
KW  - Information Systems Applications (incl.Internet)
KW  - Artificial Intelligence (incl. Robotics)
KW  - Information Systems and Communication Service
KW  - Multimedia Information Systems
KW  - Electronic Commerce/e-business
KW  - Database Management
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-0-387-36501-5
ER  -