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Schema and ontology matching with COMA++

Open access
Aumueller, David, Do, Hong-Hai, Massmann, Sabine, Rahm, Erhard·2005·Proceedings of the 2005 ACM SIGMOD international conference on Management of data

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.

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Metadata

Authors
Aumueller, D., Do, H.-H., Massmann, S., & Rahm, E.
Venue
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Publisher
ACM
Published
2005-06-14
Pages
906-908
ISSN
0730-8078 (ISSN-L)
OpenAlex
W1998982581
Cited by
650
References
0
FWCI
26.47
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Schema and ontology matching with COMA++. https://app.cochat.ai/papers/10.1145/1066157.1066283
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Aumueller, D., Do, H.-H., Massmann, S., & Rahm, E. (2005). Schema and ontology matching with COMA++. Proceedings of the 2005 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/1066157.1066283

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.