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Providing Top-K Alternative Schema Matchings with \({\mathcal{O}}nto {\mathcal{M}}atcher\)

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Conceptual Modeling - ER 2008 (ER 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5231))

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Abstract

Uncertainty management at the core of data integration was motivated by new approaches to data management, such as dataspaces [2] and the use of fullyautomatic schema matching takes an increasingly prominent role in this field. Recent works suggested the use, in parallel, of several alternative schema matching, as an uncertainty management tool [3,1]. We offer in this work OntoMatcher, an extension of the OntoBuilder [4] schema matching tool to support the management of multiple (top-K) schema matching alternatives.

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References

  1. Dong, X., Halevy, A., Yu, C.: Data integration with uncertainty. In: Proceedings of the International conference on Very Large Data Bases (VLDB), pp. 687–698 (2007)

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© 2008 Springer-Verlag Berlin Heidelberg

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Roitman, H., Gal, A., Domshlak, C. (2008). Providing Top-K Alternative Schema Matchings with \({\mathcal{O}}nto {\mathcal{M}}atcher\) . In: Li, Q., Spaccapietra, S., Yu, E., Olivé, A. (eds) Conceptual Modeling - ER 2008. ER 2008. Lecture Notes in Computer Science, vol 5231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87877-3_50

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  • DOI: https://doi.org/10.1007/978-3-540-87877-3_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87876-6

  • Online ISBN: 978-3-540-87877-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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