Jérôme Euzenat is senior research scientist at INRIA where he leads the Exmo team dedicated to computer-mediated exchanges of structured knowledge. He is supervising the "Heterogeneity" work package of the Knowledge web network of excellence which aims at structuring the European research community in ontology alignment and merging. Pavel Shvaiko is a postdoc fellow at the Department of Information and Communication Technology (DIT) of the University of Trento (UniTn), Trento, Italy. In 2006, he finished his PhD on "Iterative Schema-based Semantic Matching". Currently, he works in a European research project on matching multiple schemas, classifications, ontologies as a solution to the semantic heterogeneity problem.

Select Guide Rating

• 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.

Jérôme Euzenat is senior research scientist at INRIA where he leads the Exmo team dedicated to computer-mediated exchanges of structured knowledge. He is supervising the "Heterogeneity" work package of the Knowledge web network of excellence which aims at structuring the European research community in ontology alignment and merging. Pavel Shvaiko is a postdoc fellow at the Department of Information and Communication Technology (DIT) of the University of Trento (UniTn), Trento, Italy. In 2006, he finished his PhD on "Iterative Schema-based Semantic Matching". Currently, he works in a European research project on matching multiple schemas, classifications, ontologies as a solution to the semantic heterogeneity problem.

Select Guide Rating

• 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.

Jérôme Euzenat is senior research scientist at INRIA where he leads the Exmo team dedicated to computer-mediated exchanges of structured knowledge. He is supervising the "Heterogeneity" work package of the Knowledge web network of excellence which aims at structuring the European research community in ontology alignment and merging. Pavel Shvaiko is a postdoc fellow at the Department of Information and Communication Technology (DIT) of the University of Trento (UniTn), Trento, Italy. In 2006, he finished his PhD on "Iterative Schema-based Semantic Matching". Currently, he works in a European research project on matching multiple schemas, classifications, ontologies as a solution to the semantic heterogeneity problem.

Select Guide Rating

• 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.