Title : Multi-agent Data Fusion Architecture for Intelligent Web Information Retrieval ( Multi-agent Data Fusion Architecture for Intelligent Web Information Retrieval )
Authors: , Mohsen Kahani , , ,
Full TextAbstract
In this paper we propose a multi-agent architecture for web information retrieval using fuzzy logic based result fusion mechanism. The model is designed in JADE framework and takes advantage of JXTA agent communication method to allow agent communication through firewalls and network address translators. This approach enables developers to build and deploy P2P applications through a unified medium to manage agent-based document retrieval from multiple sources.
Keywords
, Information retrieval systems, list fusion methods, document score, multi-agent systems
@article{paperid:1005126,
author = {, and Kahani, Mohsen and , and , },
title = {Multi-agent Data Fusion Architecture for Intelligent Web Information Retrieval},
journal = {International Journal of Intelligent Systems and Technologies},
year = {2007},
volume = {2},
number = {3},
month = {June},
issn = {2070-3899},
pages = {201--205},
numpages = {4},
keywords = {Information retrieval systems; list fusion methods;
document score; multi-agent systems},
}
%0 Journal Article
%T Multi-agent Data Fusion Architecture for Intelligent Web Information Retrieval
%A ,
%A Kahani, Mohsen
%A ,
%A ,
%J International Journal of Intelligent Systems and Technologies
%@ 2070-3899
%D 2007
