View : 20 Download: 0

Content similarity matching mechanism based on category for hybrid P2P system

Title
Content similarity matching mechanism based on category for hybrid P2P system
Authors
Min S.Cho D.
Ewha Authors
조동섭
SCOPUS Author ID
조동섭scopus
Issue Date
2007
Journal Title
2007 International Conference on Convergence Information Technology, ICCIT 2007
Indexed
SCOPUS scopus
Abstract
For the last few years, there has been a large volume of research on Peer-to-Peer (P2P) system, resulting in many hybrid P2P models. This model uses name-based matching method as a SP finds the contents in directory server. The existing SP based P2P information retrieval method simply depends on queries of requester and content's name shared by peers, however, there is a limit to provide exact matching between query and content's name due to the inaccuracy in the content's name or keyword in the request. In this study, we propose an ISP2P (Intelligent Super-Peer based P2P system) using presented category-based content similarity matching algorithm. The proposed system can solve the problem incurred due to the discrepancy between names of contents. Also peers in the network can choose the peer with high relevance value based on category. © 2007 IEEE.
DOI
10.1109/ICCIT.2007.4420382
ISBN
0769530389; 9780769530383
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

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

BROWSE