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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.1 P.88~94


Study on semantic-oriented hybrid indexing strategy of resource metadata in peer-to-peer network

Author(s):  LIU Zhen, ZHOU Mao-wei, HUANG Hong-bin, LUO Xue-shan

Affiliation(s):  College of Information System and Management, National University of Defense Technology, Changsha 410073, China

Corresponding email(s):   hero12251976@163.com

Key Words:  Peer-to-peer (P2P), Ontology, Metadata, Resource indexing

LIU Zhen, ZHOU Mao-wei, HUANG Hong-bin, LUO Xue-shan. Study on semantic-oriented hybrid indexing strategy of resource metadata in peer-to-peer network[J]. Journal of Zhejiang University Science A, 2007, 8(1): 88~94.

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publisher="Zhejiang University Press & Springer",

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%DOI 10.1631/jzus.2007.A0088

T1 - Study on semantic-oriented hybrid indexing strategy of resource metadata in peer-to-peer network
A1 - LIU Zhen
A1 - ZHOU Mao-wei
A1 - HUANG Hong-bin
A1 - LUO Xue-shan
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Applying ontology to describe resource metadata richly in the peer-to-peer environment has become current research trend. In this semantic peer-to-peer environment, indexing semantic element of resource description to support efficient resource location is a difficult and challenging problem. This paper provided a hybrid indexing architecture, which combines local indexing and global indexing. It uses community strategy and semantic routing strategy to organize key layer metadata element and uses DHT (distributed hash table) to index extensional layer metadata element. Compared with related system, this approach is more efficient in resource location and more scalable.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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