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Temporal Functional Dependencies with Multiple Granularities: A Logic Based Approach

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Database and Expert Systems Applications (DEXA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3180))

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Abstract

Functional dependencies allow one to define semantic constraints on relational databases without focusing on data dynamics. Some efforts have been devoted in these last twenty years to extend functional dependencies to support temporal aspects of data; the existing proposals capture temporal features which are slightly different one from each other. In this paper we propose a logic based approach for the problem of modeling and managing temporal data dependencies, and we show how our proposal allows one to express in a homogeneous way the temporal functional dependencies previously proposed in the literature.

This work has been partially supported by contributions from the Italian Ministry of University and Research (MIUR) under program COFIN-PRIN 2003 “Representing and managing spatial and geographical data on the Web”.

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© 2004 Springer-Verlag Berlin Heidelberg

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Combi, C., Rossato, R. (2004). Temporal Functional Dependencies with Multiple Granularities: A Logic Based Approach. In: Galindo, F., Takizawa, M., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2004. Lecture Notes in Computer Science, vol 3180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30075-5_83

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  • DOI: https://doi.org/10.1007/978-3-540-30075-5_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22936-0

  • Online ISBN: 978-3-540-30075-5

  • eBook Packages: Springer Book Archive

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