Using swarm intelligence for dynamic Web content organizing

The World Wide Web contains a huge amount of unstructured, distributed, multi-media data. This content provides a great potential source for knowledge acquisition that needs to be filtered, organized, and maintained in order to permit an efficient use. The wide distribution of the Web, its openness and high dynamics make any tentative of content organization or maintaining, a task very hard to achieve. The WWW is thus, a complex system, for which we have to imagine mechanisms of content maintaining, filtering and organizing, that are able to deal with its content evolving, dynamics and distribution. Integrating mechanisms of self-organization of the Web content is an attractive perspective, to match with these requirements. We present in this paper a new approach, inspired by social insects, to organize dynamically the Web content. Our approach combines foraging behavior and collective sorting behavior, and uses the stigmergy mechanism. We present in this paper some experiments and results that show its effectiveness.