NDLI: MF-Chord: Supporting multi-attribute multi-keyword fuzzy-matching queries

Content Provider	IEEE Xplore Digital Library
Author	Zhao Xiu-Mei Liu Fang-Ai
Copyright Year	2009
Description	Author affiliation: School of Information Science and Engineering, Shandong Normal University, Ji'nan, 250014, China (Zhao Xiu-Mei; Liu Fang-Ai)
Abstract	Most educational resource grids are required to support multi-attribute multi-keyword fuzzy-matching queries. But such queries are not efficiently supported in current structured P2P systems. Towards an efficient P2P system capable of processing multiattribute multi-keyword fuzzy-matching queries with high recall ratio and load balancing, we propose a new resource indexing model which is expanded from Chord and called MF-Chord. Besides one-dimensional fingerprint which includes main keywords information of each attribute of the resource, MF-Chord generates opposite-fingerprint for every resource, which is the partial reversal of the fingerprint and is used to balance the query load. Reforming the finger tables of nodes and the query-request-message format, MFChord dynamically generates the query-requestforwarding- tree for every query and realizes the efficient multi-attribute multi-keyword fuzzy-matching query function. Through theoretical Analysis, we prove that MF-Chord has high recall ratio in limited hops. The experiment results show that the recall ratio of MF-Chord is more than 80% even when the maximum hop count is set to 7 and there are 80000 nodes in the system.
Starting Page	522
Ending Page	527
File Size	128274
Page Count	6
File Format	PDF
ISBN	9781424439287
DOI	10.1109/ITIME.2009.5236366
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Information science Fingers Educational technology Fingerprint recognition Load management Routing Indexing Convergence
Content Type	Text
Resource Type	Article

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