User modeling and adaptive Semantic Web

How can we make use of the personal information a single user is spreading all over the Social Web every day? In this paper we investigate what is needed from a user model point of view to support user data sharing and aggregation to enhance…

An adaptive Web site accommodates a diverse set of users with a wide variety of knowledge background and interests. Recently some adaptive Web environments have become available. The adaptation can range from a simple automatic selection between…

Meaningful scientific visualizations benefit the interpretation of scientific data, concepts and processes. To ensure meaningful visualizations, the visualization system needs to adapt to desires, disabilities and abilities of the user,…

In this paper we examine the notion of adaptive user interfaces, interactive systems that invoke machine learning to improve their interaction with humans. We review some previous work in this emerging area, ranging from software that filters…

In this paper we describe the User Modeling phase of our general research approach: developing Adaptive Intelligent User Interfaces to facilitate enhanced natural communication during the Human-Computer Interaction. Natural communication is…

Peer assessment techniques are an effective means to take advantage of the knowledge that exists in Web-based peer environments. Through these techniques, participants act both as authors and reviewers over each others work. However, as Web-based…

This paper presents the idea to reason over user s tags to define and enrich the user model. We apply our approach to an adaptive web-based and multi-device social recommender system: iCITY, which exploits a tag-based user model, enriched from the…

To construct an accurate and comprehensive user model is required in e-learning. User model can describe explicitly the learning goals and information needs about an individual learner. In this paper, we analyze learner characters and propose an…

Universal Usability requires that user interfaces accommodate users with a wide variety of expertise and knowledge. Moreover, individual users' needs and preferences change as they use a software system. Systems that guide the user through an…

This paper presents a system for personalization of web contents based on a user model that stores long term and short term interests. Long term interests are modeled through the selection of specific and general categories, and keywords for which…