Abstract
In a temporal database a specific semantics is usually intended by the database designer regarding how the values of certain attributes evolve over time and how these values change when considered in terms of different time granularities. In this paper we show how this semantics can be exploited to compress the original database. Differently from traditional compression techniques, queries can be evaluated directly against the compressed database.
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© 2001 Springer-Verlag Berlin Heidelberg
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Bettini, C. (2001). Semantic Compression of Temporal Data. In: Wang, X.S., Yu, G., Lu, H. (eds) Advances in Web-Age Information Management. WAIM 2001. Lecture Notes in Computer Science, vol 2118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47714-4_25
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DOI: https://doi.org/10.1007/3-540-47714-4_25
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Online ISBN: 978-3-540-47714-3
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