DocumentCode
3419089
Title
Hierarchically organized neural net agents for distributed Web information retrieval
Author
Choi, Yong S. ; Yoo, Suk I. ; Lee, Jaeho
Author_Institution
Dept. of Comput. Sci., Seoul Nat. Univ., South Korea
fYear
1999
fDate
1999
Firstpage
192
Lastpage
197
Abstract
Agent based information retrieval systems have gained great attention, due to the proliferation of readily available but overwhelming information on the Web. We present a neural network based multi agent, especially hierarchically organized information retrieval system. The motivation is based on our experience with an experimental system called Hierarchically Organized Multi-agent Information Retrieval System (HOMIRS) and an analysis of the tradeoff between multi-agent coordination overhead and the benefits of the hierarchical organization of agents. We first introduce our neural network based information retrieval system and then present experimental results with HOMIRS
Keywords
information resources; information retrieval; multi-agent systems; neural nets; search engines; HOMIRS; Hierarchically Organized Multi-agent Information Retrieval System; Web; agent based information retrieval systems; distributed Web information retrieval; experimental system; hierarchical organization; hierarchically organized information retrieval system; hierarchically organized neural net agents; multi-agent coordination overhead; neural network based information retrieval system; neural network based multi agent; Broadcasting; Computer science; Databases; Delay; Information analysis; Information retrieval; Information technology; Metasearch; Neural networks; Uniform resource locators;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference, 1999. COMPSAC '99. Proceedings. The Twenty-Third Annual International
Conference_Location
Phoenix, AZ
ISSN
0730-3157
Print_ISBN
0-7695-0368-3
Type
conf
DOI
10.1109/CMPSAC.1999.812699
Filename
812699
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