Social Media Monitoring Bibliothek "Ontology Alignment: Bridging the Semantic Gap"

Social Media Monitoring Bibliothek von COGIA Intelligence GmbH
Themen: Ontologien,Ontology, Semantic Gap

Titel: Ontology Alignment: Bridging the Semantic Gap
Series: Semantic Web and Beyond , Vol. 4
Autor: Marc Ehrig
2007, XVIII, 248 p., Hardcover
ISBN: 978-0-387-32805-8

Weitere Informationen über unsere Produkte, Lösungen, Schulungen, Beratungen finden Sie hier:
cogia.intelligence@googlemail.com
Tel: +49 69 2648485-11                         
Fax: +49 69 2648485-29                          
www.cogia.de 
https://www.xing.com/companies/COGIAGMBH

About this book

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.

Content Level » Research

Keywords » Bridging - Data Integration - Gap - Information Systems - Language - Machine Learning - Ontology Alignment - Peer-to-peer - Semantic - Semantic Web

Related subjects » Artificial Intelligence - Business Information Systems - Database Management & Information Retrieval - Information Systems and Applications

Table of contents

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.