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Authors: Daniel Nikovski 1 ; Alan Esenther 1 ; Xiang Ye 1 ; Mitsuteru Shiba 2 and Shigenobu Takayama 2

Affiliations: 1 Mitsubishi Electric Research Laboratories, United States ; 2 Mitsubishi Electric Corporation, Japan

Keyword(s): Data Integration, Virtual Databases, Uncertain Schema Matching.

Related Ontology Subjects/Areas/Topics: Coupling and Integrating Heterogeneous Data Sources ; Databases and Information Systems Integration ; Enterprise Information Systems ; Organisational Issues on Systems Integration

Abstract: We propose a method for accurate combining of evidence supplied by multiple individual matchers regarding whether two data schema elements match (refer to the same object or concept), or not, in the field of automatic schema matching. The method uses a Bayesian network to model correctly the statistical correlations between the similarity values produced by individual matchers that use the same or similar information, in order to avoid overconfidence in match probability estimates and improve the accuracy of matching. Experimental results under several testing protocols suggest that the matching accuracy of the Bayesian composite matcher can significantly exceed that of the individual component matchers.

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Paper citation in several formats:
Nikovski, D.; Esenther, A.; Ye, X.; Shiba, M. and Takayama, S. (2012). Bayesian Networks for Matcher Composition in Automatic Schema Matching. In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8565-10-5; ISSN 2184-4992, SciTePress, pages 48-55. DOI: 10.5220/0004001500480055

@conference{iceis12,
author={Daniel Nikovski. and Alan Esenther. and Xiang Ye. and Mitsuteru Shiba. and Shigenobu Takayama.},
title={Bayesian Networks for Matcher Composition in Automatic Schema Matching},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2012},
pages={48-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004001500480055},
isbn={978-989-8565-10-5},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Bayesian Networks for Matcher Composition in Automatic Schema Matching
SN - 978-989-8565-10-5
IS - 2184-4992
AU - Nikovski, D.
AU - Esenther, A.
AU - Ye, X.
AU - Shiba, M.
AU - Takayama, S.
PY - 2012
SP - 48
EP - 55
DO - 10.5220/0004001500480055
PB - SciTePress

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