Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICNPCW.2007.4351456
Title: Content-based search using term aggregation and classification over hybrid peer-to-peer systems
Authors: Zhou, A.
Zhang, R.
Vu, Q.H. 
Qian, W.
Issue Date: 2007
Citation: Zhou, A., Zhang, R., Vu, Q.H., Qian, W. (2007). Content-based search using term aggregation and classification over hybrid peer-to-peer systems. Proceedings - 2007 IFIP International Conference on Network and Parallel Computing Workshops, NPC 2007 : 28-35. ScholarBank@NUS Repository. https://doi.org/10.1109/ICNPCW.2007.4351456
Abstract: In this paper, we propose a method to support content-based search, one of the challenges in Peer-to-Peer file sharing system. The proposed method is based on a hybrid structure, which is a combination of a Chord ring and a balanced tree. The tree is used to aggregate and classify terms while the Chord ring is used to index terms of nodes in the tree. At every node in the tree, the system classifies terms as either important or unimportant. Important terms of a node, which can distinguish the node from its neighbor nodes, are indexed in the Chord ring while unimportant terms that are either popular or rare terms are aggregated to higher level nodes. Based on the classification, the system can process queries on the fly without the need of global knowledge. Therefore, our system can avoid the problem of bottleneck at nodes keeping global knowledge and the expensive cost of synchronization global knowledge among these nodes. We have done extensive experiments to validate the effectiveness and efficiency of our proposal. © 2007 IEEE.
Source Title: Proceedings - 2007 IFIP International Conference on Network and Parallel Computing Workshops, NPC 2007
URI: http://scholarbank.nus.edu.sg/handle/10635/129647
ISBN: 0769529437
DOI: 10.1109/ICNPCW.2007.4351456
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

22
checked on Oct 12, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.