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Schema and ontology matching with COMA++

Published: 14 June 2005 Publication History

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.

References

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Budanitsky A.: Lexical Semantic Relatedness and Its Application in Natural Language Processing. Tech. Report, Univ. Toronto, 1999
[3]
Do, H. H., E. Rahm: COMA - A System for Flexible Combination of Match Algorithms. VLDB 2002
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Do, H. H., S. Melnik, E. Rahm: Comparison of Schema Matching Evaluations. Proc. Workshop Web and Databases, LNCS 2593, 2003
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Doan A., J. Madhavan, P. Domingo, A. Halevy: Learning to Map between Ontologies on the Semantic Web. WWW 2002
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Kalfoglou, Y., M. Schorlemmer: Ontology Mapping - The State of The Art. Knowledge Engineering Review 18(1), 2003
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Madhavan, J., P. A. Bernstein, A. H. Doan, A. Y. Halevy: Corpus-based Schema Matching. Int. Conf. of Data Engineering (ICDE) 2005
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Mena, E. et al: Managing Multiple Information Sources through Ontologies: Relationship between Vocabulary Heterogeneity and Loss of Information. Knowledge Representation Meets Databases (KRDB) 1996
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Popa, L., M. Hernández, Y. Velegrakis, R. Miller: Mapping XML and Relational Schemas with Clio. ICDE 2002 (Demonstration)
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Rahm, E., H. H. Do, S. Massmann: Matching Large XML Schemas. SIGMOD Record 33(4), 2004
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Rahm, E., P. A. Bernstein: A Survey of Approaches to Automatic Schema Matching. VLDB Journal 10 (4), 2001
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    cover image ACM Conferences
    SIGMOD '05: Proceedings of the 2005 ACM SIGMOD international conference on Management of data
    June 2005
    990 pages
    ISBN:1595930604
    DOI:10.1145/1066157
    • Conference Chair:
    • Fatma Ozcan
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 14 June 2005

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    Cited By

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    • (2024)Overview on Data Ingestion and Schema MatchingData and Metadata10.56294/dm20242193(219)Online publication date: 2-Aug-2024
    • (2024)GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data SecurityProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671602(5476-5486)Online publication date: 25-Aug-2024
    • (2024)IDAGEmb: An Incremental Data Alignment Based on Graph EmbeddingBig Data Analytics and Knowledge Discovery10.1007/978-3-031-68323-7_2(19-33)Online publication date: 18-Aug-2024
    • (2024)Node2Vec Stability: Preliminary Study to Ensure the Compatibility of Embeddings with Incremental Data AlignmentAdvances in Model and Data Engineering in the Digitalization Era10.1007/978-3-031-55729-3_7(79-88)Online publication date: 21-Mar-2024
    • (2023)Towards building knowledge by merging multiple ontologies with CoMergerApplied Ontology10.3233/AO-23002018:4(307-341)Online publication date: 1-Jan-2023
    • (2023)VersaMatch: Ontology Matching with Weak SupervisionProceedings of the VLDB Endowment10.14778/3583140.358314816:6(1305-1318)Online publication date: 20-Apr-2023
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    • (2023)A semi-automated hybrid schema matching framework for vegetation data integrationExpert Systems with Applications10.1016/j.eswa.2023.120405229(120405)Online publication date: Nov-2023
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