IMPROVING REAL WORLD SCHEMA MATCHING WITH DECOMPOSITION PROCESS

Sana Sellami, Aïcha-Nabila Benharkat, Youssef Amghar, Frédéric Flouvat

2010

Abstract

This paper tends to provide an answer to a difficult problem: Matching large XML schemas. Scalable Matching acquires a long execution time other than decreasing the quality of matches. In this paper, we propose an XML schema decomposition approach as a solution for large schema matching problem. The presented approach identifies the common structures between and within XML schemas, and decomposes these input schemas. Our method uses tree mining techniques to identify these common structures and to select the most relevant sub-parts of large schemas for matching. As proved by our experiments in e-business domain, the proposed approach improves the performance of schema matching and offers a better quality of matches in comparison to other existing matching tools.

References

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Paper Citation


in Harvard Style

Sellami S., Benharkat A., Amghar Y. and Flouvat F. (2010). IMPROVING REAL WORLD SCHEMA MATCHING WITH DECOMPOSITION PROCESS . In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8425-04-1, pages 151-158. DOI: 10.5220/0002887001510158


in Bibtex Style

@conference{iceis10,
author={Sana Sellami and Aïcha-Nabila Benharkat and Youssef Amghar and Frédéric Flouvat},
title={IMPROVING REAL WORLD SCHEMA MATCHING WITH DECOMPOSITION PROCESS},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2010},
pages={151-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002887001510158},
isbn={978-989-8425-04-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - IMPROVING REAL WORLD SCHEMA MATCHING WITH DECOMPOSITION PROCESS
SN - 978-989-8425-04-1
AU - Sellami S.
AU - Benharkat A.
AU - Amghar Y.
AU - Flouvat F.
PY - 2010
SP - 151
EP - 158
DO - 10.5220/0002887001510158