Ontology Matching

• Main Authors: Euzenat, Jérôme (Author), Shvaiko, Pavel (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Subjects: Computer science.; Information technology.; Business > Data processing.; Computer programming.; Information storage and retrieval.; Artificial intelligence.; E-commerce.; Computer Science.; Programming Techniques.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Artificial Intelligence (incl. Robotics).; IT in Business.; e-Commerce/e-business.

Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in g...

Table of Contents:

• The matching problem
• Applications
• The matching problem
• Ontology matching techniques
• Classifications of ontology matching techniques
• Basic techniques
• Matching strategies
• Systems and evaluation
• Overview of matching systems
• Evaluation of matching systems
• Representing, explaining, and processing alignments
• Frameworks and formats: representing alignments
• Explaining alignments
• Processing alignments
• Conclusions
• Conclusions.