%0 Conference Paper %1 aumueller2005comaplus %A Aumueller, David %A Do, Hong-Hai %A Massmann, Sabine %A Rahm, Erhard %B Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data %C New York, NY, USA %D 2005 %I ACM %K coma information integration mapping matching ontology schema %P 906--908 %R 10.1145/1066157.1066283 %T Schema and Ontology Matching with COMA++ %U http://doi.acm.org/10.1145/1066157.1066283 %X We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms 3. COMA++ implements significant improvements and offers a comprehensive infrastructure to solve large real-world match problems. It comes with a graphical interface enabling a variety of user interactions. Using a generic data representation, COMA++ uniformly supports schemas and ontologies, e.g. the powerful standard languages W3C XML Schema and OWL. COMA++ includes new approaches for ontology matching, in particular the utilization of shared taxonomies. Furthermore, different match strategies can be applied including various forms of reusing previously determined match results and a so-called fragment-based match approach which decomposes a large match problem into smaller problems. Finally, COMA++ cannot only be used to solve match problems but also to comparatively evaluate the effectiveness of different match algorithms and strategies. %@ 1-59593-060-4

@inproceedings{aumueller2005comaplus, abstract = {We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms [3]. COMA++ implements significant improvements and offers a comprehensive infrastructure to solve large real-world match problems. It comes with a graphical interface enabling a variety of user interactions. Using a generic data representation, COMA++ uniformly supports schemas and ontologies, e.g. the powerful standard languages W3C XML Schema and OWL. COMA++ includes new approaches for ontology matching, in particular the utilization of shared taxonomies. Furthermore, different match strategies can be applied including various forms of reusing previously determined match results and a so-called fragment-based match approach which decomposes a large match problem into smaller problems. Finally, COMA++ cannot only be used to solve match problems but also to comparatively evaluate the effectiveness of different match algorithms and strategies.}, acmid = {1066283}, added-at = {2015-11-25T12:24:24.000+0100}, address = {New York, NY, USA}, author = {Aumueller, David and Do, Hong-Hai and Massmann, Sabine and Rahm, Erhard}, biburl = {https://www.bibsonomy.org/bibtex/2ac3b7dfb08d26ff1b6b8c61d15aa5a50/porta}, booktitle = {Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data}, description = {Schema and ontology matching with COMA++}, doi = {10.1145/1066157.1066283}, interhash = {03cf551bd5ba5de800deea26c35a0d9d}, intrahash = {ac3b7dfb08d26ff1b6b8c61d15aa5a50}, isbn = {1-59593-060-4}, keywords = {coma information integration mapping matching ontology schema}, location = {Baltimore, Maryland}, numpages = {3}, pages = {906--908}, publisher = {ACM}, series = {SIGMOD '05}, timestamp = {2015-11-25T12:24:24.000+0100}, title = {Schema and Ontology Matching with COMA++}, url = {http://doi.acm.org/10.1145/1066157.1066283}, year = 2005 }