Adaptive and Personalized Semantic Web [electronic resource] / edited by Spiros Sirmakessis.

An Algorithmic Framework for Adaptive Web Content -- A Multi-Layered and Multi-Faceted Framework for Mining Evolving Web Clickstreams -- Model Cloning: A Push to Reuse or a Disaster? -- Behavioral Patterns in Hypermedia Systems: A Short Study of E-commerce vs. E-learning Practices -- Adaptive Personal Information Environment Based on Semantic Web -- A Multilayer Ontology Scheme for Integrated Searching in Distributed Hypermedia -- htmlButler Wrapper Usability Enhancement through Ontology Sharing and Large Scale Cooperation -- A Methodology for Conducting Knowledge Discovery on the Semantic Web.

Web Personalization can be defined as any set of actions that can tailor the Web experience to a particular user or set of users. To achieve effective personalization, organizations must rely on all available data, including the usage and click-stream data (reflecting user behaviour), the site content, the site structure, domain knowledge, as well as user demographics and profiles. In addition, efficient and intelligent techniques are needed to mine this data for actionable knowledge, and to effectively use the discovered knowledge to enhance the users' Web experience. The aim of the International Workshop on Adaptive and Personalized Semantic Web that was held in the Sixteenth ACM Conference on Hypertext and Hypermedia (September 6-9, 2005, Salzburg, Austria) was to bring together researchers and practitioners in the fields of web engineering, adaptive hypermedia, semantic web technologies, knowledge management, information retrieval, user modelling, and other related disciplines which provide enabling technologies for personalization and adaptation on the World Wide Web. The book contains the papers presented during the workshop. Presentations of the papers are available online at www.hci.gr.

ZDB-2-ENG