Automatic Tag Attachment Scheme for Efficient File Search in Peer-to-Peer File Sharing Systems

Author

Qin, Ting Ting ; Fujita, Satoshi

Author_Institution

Dept. of Inf. Eng., Hiroshima Univ., Higashi-Hiroshima, Japan

fYear

2011

fDate

25-27 July 2011

Firstpage

507

Lastpage

511

Abstract

In this paper, we consider the problem of automatic tag attachment to the documents distributed over a P2P network aiming at improving the efficiency of file search in such networks. The proposed scheme combines text clustering with a modified tag extraction algorithm, and is executed in a fully distributed manner. We conducted experiments to evaluate the accuracy of the proposed scheme. The result of experiments indicates that for more than 90% of documents, it attaches the same tags as the ones attached by human reviewers.

Keywords

content management; information retrieval; pattern clustering; peer-to-peer computing; text analysis; automatic tag attachment scheme; distributed documents; file search; file sharing; peer-to-peer network; tag extraction algorithm; text clustering; Clustering algorithms; Distributed databases; Indexes; Peer to peer computing; Servers; Tagging; Uninterruptible power systems; K-DMeans; P2P system; TF-IDCF; automatic tag attachment; text clustering;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-1-61284-758-0

Electronic_ISBN

978-0-7695-4375-8

Type

conf

DOI

10.1109/ASONAM.2011.11

Filename

5992622