An Agent-Based Intelligent System for Information Gathering from World Wide Web Environment

Abstract

To use the vast amount of information efficiently and effectively from websites is very important for making informed decisions. There are, however, still many problems that need to be overcome in the information gathering research arena to enable the delivery of relevant information required by users. In this paper, an information gathering system is develop by means of multiple agents to solve those problems. We employed some ideas of Gaia methodology and Open Agent Architecture to analyze and design the system. The system consists of query preprocessing agent, information retrieval agent, information ffitering agent, and information management agent. The filtering agent is trained with categorized documents and can provide users with the necessary information. The experimental results show that aU agents in the system can work cooperatively to retrieve relevant information from the World Wide Web environment.