AntWeb—The Adaptive Web Server Based on the Ants' Behavior

Authors:
Wesley Martins Teles;Li Weigang;Célia Ghedini Ralha
Affiliations:
-;-;-
Venue:
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Year:
2003

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Abstract

This paper presents the AntWeb system, developed under the research area of Web Intelligence (WI). Our approach to AntWeb application is inspired by the ant colonies foragingbehavior, to adaptively mark the most significant links, by means of the shortest route to arrive to target pages. We consider the web users as artificial ants, and use the ant theory as a metaphor to guide user's activity in the Web site. In this paper, we describe the ant's theory in which AntWeb is based on. We also present the AntWeb system, its implementation and a case study with some experiments. The database in AntWeb stores a vast amount of information related to the users' visit to Web sites, which can be useful for further Web mining.