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
Link To Document :
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