IJADE Reporter - An Intelligent Multi-agent Based Context - Aware News Reporting System

摘要

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.