Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75305
Title: iJADE reporter - an intelligent multi-agent based context-aware news reporting system
Authors: Chan, ECL 
Lee, RST 
Issue Date: 2005
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2005, v. 3681 LNCS, no. , p. 693-699 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: In this paper, an Intelligent Context – Aware News Reporting System called iJADE Reporter is presented. This system focuses on how context mining techniques are applied on news reporting under a multi-agent architecture, and categorize news content by information retrieval algorithm. This paper also investigates how to improve the similarity measurement between documents by ontology with WordNet graph structure of words. In a web querying case, a common information retrieval algorithm, Term Frequency with Inverse Document Frequency (TFIDF) is used to cluster news contents. The proposed system provides a simple, fast and efficient query in WWW. The proposed system makes use of multi-agent technology to increase the scalability and efficiency of the system. By using TFIDF algorithm and multi-agent based techniques, an online updating news reporter from popular News Website, such as BBC & CNN News Website is developed.
Description: International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2005, 14-16 September 2005, Melbourne, VIC, Australia
URI: http://hdl.handle.net/10397/75305
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/11552413_99
Appears in Collections:Conference Paper

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