大学サイト   学部サイト   学科サイト   EnglishPages
 
旧尾家・塚本研究室です.尾家祐二 現・九州工業大学学長の情報は こちら.
   
研究業績


Search in a Hybrid P2P System Using Visualized Network Information
著者
  Kei Ohnishi, Hiroshi Yamamoto, and Mario Koeppen
 
雑誌名/会議名
  The 14th International Symposium on Advanced Intelligent Systems (ISIS2013), Daejeon, Korea, November 13-16, 2013. 2013 年 11 月
 
アブストラクト
  We propose a hybrid P2P information search system that combines (1) an idea that a searcher searches not information itself but people who has KANSEI (human sensitivity) well-fitted to the searcher, (2) a P2P network on which we can expect to build a scalable information search system against rapid increase of the amount of information, and (3) a folksonomy which is a system that allows users to classify information by themselves, to enable us to obtain our desired information from the huge amount of information on the network quickly and reliably. In addition, we evaluate the proposed system through simulations. The main characteristics of the proposed system is that it produces a two dimensional map visualizing all nodes’ KANSEI information represented by over two-dimensional numerical vectors, that is the entire network, using self-organizing map, and then utilizes the map for search. In simulations for evaluation, we assume that there exist many nodes with a variety of KANSEI and then examine the effect of the two dimensional map, which is reduced from a higher dimensional space for representing KANSEI information, on the node search. Simulation results show that the proposed system provides balanced opportunities that we obtain our desired information and that we meet other unknown information compared to a search method that conducts search directly in the higher space for representing KANSEI information and a random search method. The results suggest that the proposed system is suitable not for reliably searching only information that a searcher explicitly desires but for searching with some heuristic factors such that a searcher happens to meet people whose KANSEI interests the searcher.
 
キーワード
 
 
記述言語
  English
 
 

web_admin [ at ] infonet.cse.kyutech.ac.jp /  Copyright (c) 2016 Oie & Tsukamoto Laboratory, All Right Reserved.