Multi-Agent System for Search Engine based Web Server: A Conceptual Framework

Abstract

Existing Web Servers supporting any standard Search Engine follow all possible combinations of the search keywords as an input by the user to a Search Engine. As a result, a huge number of Web-pages are shown in the Web browser. This type of search result is confusing for the user to understand which documents are necessary. It will take a lot of time to go through all the Web-pages. As a result, a user needs more specific search. This paper proposes a system for user specific data mining over World Wide Web (WWW). Learning & testing methodology has been applied to the system for managing the characteristic behavior of the user. The proposed solution comprises of several agents which are capable of working separately & intelligently to achieve their individual goal. The following modules & agents are covered within this paper: User Module, Data Transfer Module, Group Agent, Analyzer Agent, Search Agent & Retrieval Module. Among these agents “Group Agent” is the most important part, since the classification of groups can't be done using conventional numerical analysis. The main reason behind it is the frequent change in profile of the user. All the required information to illustrate user account is acquired through a registration form submission. “Analyzer Agent” is being used to develop the analyzing strategy. Finally, “Search Agent” searches the Web to find the desired result for the specific type of user.