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Exploiting Connection Relation to Compress Data Graph

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Book cover Advances in Web and Network Technologies, and Information Management (APWeb 2007, WAIM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4537))

Abstract

In this paper, we propose an approach to compress data graph by exploiting connection relations which are some particular entity-relationship relations in relational databses. Our method not only can make a larger data graph fit in memory, but also can improve the performance of existing data graph search algorithms for keyword search over relational databases. Comprehensive experiments are conducted to show the effectiveness and efficiency of our method.

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Authors and Affiliations

Authors

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Kevin Chen-Chuan Chang Wei Wang Lei Chen Clarence A. Ellis Ching-Hsien Hsu Ah Chung Tsoi Haixun Wang

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© 2007 Springer-Verlag Berlin Heidelberg

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Zhang, J., Peng, Z., Wang, S., Zhan, J. (2007). Exploiting Connection Relation to Compress Data Graph. In: Chang, K.CC., et al. Advances in Web and Network Technologies, and Information Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72909-9_27

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  • DOI: https://doi.org/10.1007/978-3-540-72909-9_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72908-2

  • Online ISBN: 978-3-540-72909-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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