DocumentCode
2666759
Title
Keyword searching in hypercubic manifolds
Author
Lu, Yu-En ; Hand, Steven ; Lio, Pietro
Author_Institution
Comput. Lab., Cambridge Univ., UK
fYear
2005
fDate
31 Aug.-2 Sept. 2005
Firstpage
150
Lastpage
151
Abstract
The authors presented a novel approach for keyword searching for file sharing applications based on a simple hash function and extension to current distributed hash tables (DHT) topology. Depart from standard hash methods on DHT systems, this approach is to develop a locality preserving hash function so that objects containing the same keyword tend to have similar hash values under Hamming metric. It is shown that this hash function is locality preserving and proposes the embedding of keyword edges to facilitate query processing. As such, several class of problems in keyword search were reduced into a network multicast problem.
Keywords
file organisation; peer-to-peer computing; query processing; Hamming metric; distributed hash table; file sharing; hypercubic manifold; keyword searching; query processing; Application software; Content based retrieval; Distributed computing; Keyword search; Laboratories; Peer to peer computing; Query processing; Standards development; Topology; Video sharing;
fLanguage
English
Publisher
ieee
Conference_Titel
Peer-to-Peer Computing, 2005. P2P 2005. Fifth IEEE International Conference on
Print_ISBN
0-7695-2376-5
Type
conf
DOI
10.1109/P2P.2005.18
Filename
1551033
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