ParaSite: mining structural information on the Web
Selected papers from the sixth international conference on World Wide Web
First 20 precision among World Wide Web search services (search engines)
Journal of the American Society for Information Science
Making ontologies work for resolving redundancies across documents
Communications of the ACM - Ontology: different ways of representing the same concept
A Distributed Hierarchical Clustering System for Web Mining
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Planning to gather inforrnation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
An intelligent system integrated with fuzzy ontology for product recommendation and retrieval
FS'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Fuzzy Systems - Volume 8
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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.