Presentation 2015-03-02
Self-Organizing Algorithm oriented Small-World Characteristics in Semantic P2P Networks
Takahisa SUZUKI, Taiju MIKOSHI, Toyofumi TAKENAKA,
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Abstract(in English) Semantic P2P network has attracted great attentions in the unstructured P2P network for improving content search efficiency. In the semantic P2P network, users having similar preferences are connected with each other. However, in the semantic P2P network, it is sometimes difficult for the user to search different favorite contents from the user preference by clipping phenomena. In this paper, we propose a novel method for constructing the semantic P2P network oriented Small-World characteristics which cope with the clipping phenomena. We evaluate the proposed method by simulation experiments from viewpoints of Small-World characteristics and content search efficiency.
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Keyword(in English) Semantic P2P Network / Self-Organizing Algorithm / Small-World
Paper # NS2014-189
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Committee NS
Conference Date 2015/2/23(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Self-Organizing Algorithm oriented Small-World Characteristics in Semantic P2P Networks
Sub Title (in English)
Keyword(1) Semantic P2P Network
Keyword(2) Self-Organizing Algorithm
Keyword(3) Small-World
1st Author's Name Takahisa SUZUKI
1st Author's Affiliation Graduate school of Engineering, Nihon University()
2nd Author's Name Taiju MIKOSHI
2nd Author's Affiliation Graduate school of Engineering, Nihon University
3rd Author's Name Toyofumi TAKENAKA
3rd Author's Affiliation Graduate school of Engineering, Nihon University
Date 2015-03-02
Paper # NS2014-189
Volume (vol) vol.114
Number (no) 477
Page pp.pp.-
#Pages 6
Date of Issue