The growing volume of heterogeneous and distributed information on the World Wide Web has made it increasingly difficult for existing tools to retrieve relevant information. To improve the performance of these tools, this paper suggests how to handle two aspects of the problem. The first aspect concerns a better representation and description of…

Discusses intelligent filtering systems and describes work in the INFOS (Intelligent News Filtering Organizational System) project designed to automatically categorize data as relevant or irrelevant based on user interests. The filtering is performed by combining keyword-based hill climbing, knowledge-based conceptual representation via WordNet,…

A survey of recent publications shows that frequent topics of Internet and information retrieval research are the effectiveness of search engines, information validation and quality, user studies, design of user interfaces, data structures and metadata, classification and vocabulary based aids, and indexing and search agents. The changing balance…

This paper presents an information agent and latent semantic-based indexing architecture to retrieve documents on the Internet. The system optimizes the search for documents in the Internet by automatically retrieving relevant links. The information used for the search can be obtained, for instance, from Internet browser caches and from grades of…