Ontology Matching

• Main Authors: Euzenat, J©♭r©þme. (Author), Shvaiko, Pavel. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Edition: 2nd ed. 2013.
• Subjects: Computer science.; Information technology.; Business > Data processing.; Mathematical logic.; Information storage and retrieval.; Artificial intelligence.; E-commerce.; Computer Science.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Artificial Intelligence (incl. Robotics).; IT in Business.; e-Commerce/e-business.; Mathematical Logic and Formal Languages.
• Online Access: View fulltext via EzAccess

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:

• Introduction
• Part I The matching problem
• Applications
• The matching problem
• Methodology
• Part II Ontology matching techniques
• Classifications of ontology matching techniques
• Basic similarity measures
• Global matching methods
• Matching strategies
• Part III Systems and evaluation
• Overview of matching systems
• Evaluation of matching systems
• Part IV Representing, explaining, and processing alignments
• Frameworks and formats: representing alignments
• User involvement
• Processing alignments
• Part V Conclusions
• Conclusions
• Appendix A: Legends of figures
• Appendix B: Running example
• Appendix C: Exercises
• Appendix D: Solution to exercises.