A Theoretical Framework and an Implementation Architecture for Self Adaptive Web Sites

Serious difficulties in navigation through the web are very often encountered by users, especially in structurally complicated web sites. The main reason behind this is the lack of adaptation of a web site to its visitors´ needs. Constant reorganization of the information offered by a web site is required, based upon the users´ online behaviour. In the context of the present paper, a framework for self-adaptive web sites is presented. Furthermore, an architecture implementing this framework is introduced. It employs web usage mining as well as text mining methodologies with the intention of improving the web site´s structure and ontology.