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Keymantic: semantic keyword-based searching in data integration systems

Published: 01 September 2010 Publication History

Abstract

We propose the demonstration of Keymantic, a system for keyword-based searching in relational databases that does not require a-priori knowledge of instances held in a database. It finds numerous applications in situations where traditional keyword-based searching techniques are inapplicable due to the unavailability of the database contents for the construction of the required indexes.

References

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S. Bergamaschi, E. Domnori, F. Guerra, R. T. Lado, and Y. Velegrakis. Keyword-based Searching in Databases using Intensional Knowledge. Submitted, 2010.
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R. Burkard, M. Dell'Amico, and S. Martello. Assignment Problems. SIAM, Philadelphia, 2009.
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R. Kumar and A. Tomkins. A Characterization of Online Search Behavior. IEEE Data Engineering Bulletin, 32(2):3--11, 2009.
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Z. Liu, J. Walker, and Y. Chen. Xseek: A semantic xml search engine using keywords. In VLDB, pages 1330--1333. ACM, 2007.
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J. X. Yu, L. Qin, and L. Chang. Keyword Search in Databases. Synthesis Lectures on Data Management, Morgan & Claypool Publishers, 2009.

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        cover image Proceedings of the VLDB Endowment
        Proceedings of the VLDB Endowment  Volume 3, Issue 1-2
        September 2010
        1658 pages
        ISSN:2150-8097
        • Editors:
        • Elisa Bertino,
        • Paolo Atzeni,
        • Kian Lee Tan,
        • Yi Chen,
        • Y. C. Tay
        Issue’s Table of Contents

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        VLDB Endowment

        Publication History

        Published: 01 September 2010
        Published in PVLDB Volume 3, Issue 1-2

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