Personalization of web sites has become an important issue in web modeling methods. Many of these methods use similar approaches to specify personalization. However even with similar (personalization) requirements the resulting implementations differ. The consequence is that we cannot reuse…

In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowledge from an annotated corpus and this knowledge is represented in the form of…

The exponential increase of subjective, user-generated content since the birth of the Social Web, has led to the necessity of developing automatic text processing systems able to extract, process and present relevant knowledge. In this paper, we tackle the Opinion…

Essential to an audience driven website design philosophy is the organization of information and functionality according to the requirements of the different audience classes. However, at design time, it is often difficult to correctly assess the different needs and requirements…

Most current web engineering approaches don’t have clear criteria for personalization, nor a clear strategy that designers can use to classify users and formulate a personalization strategy for the web site at design time. In this paper, we present a…