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Cell Abstract Indices for Content-Based Approximate Query Processing in Structured Peer-to-Peer Data Systems

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Advanced Web Technologies and Applications (APWeb 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3007))

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Abstract

In this paper, cell abstract indices are presented to process content-based approximate queries in structured P2P data systems. It can be used to search as few peers as possible but get as many returns satisfying users’ queries as possible on the guarantee of high autonomy of peers. Also, cell abstract indices have low system cost, can improve the query processing speed, and support very frequent updates and the set information publishing method. Simulation experiments are performed and analyzed to show the effectiveness of the proposed indices.

This work was supported by the 973 Research Plan of China under Grant No. G1999032704, the NSF of China under Grant No. 60273082, the 863 Research Plan of China under Grant No. 2002AA444110 and the Army Research Plan of China under Grant No.41315.2.3.

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Wang, C., Li, J., Shi, S. (2004). Cell Abstract Indices for Content-Based Approximate Query Processing in Structured Peer-to-Peer Data Systems. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds) Advanced Web Technologies and Applications. APWeb 2004. Lecture Notes in Computer Science, vol 3007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24655-8_29

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  • DOI: https://doi.org/10.1007/978-3-540-24655-8_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21371-0

  • Online ISBN: 978-3-540-24655-8

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