Spiros Sirmakessis

Adaptive and Personalized Semantic Web - Studies in Computational Intelligence Spiros Sirmakessis Softcover reprint of hardcover 1st ed. 2006 edition

Jacket Description/Back: 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. Table of Contents: 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."Publisher Marketing: Web Personalization can be de?ned as any set of actions that can tailor the Webexperiencetoaparticularuserorsetofusers. Toachievee?ectivepers- alization, organizationsmustrelyonallavailabledata, includingtheusageand click-stream data (re?ecting user behaviour), the site content, the site str- ture, domainknowledge, aswellasuserdemographicsandpro?les. Inaddition, e?cient and intelligent techniques are needed to mine this data for actionable knowledge, and to e?ectively use the discovered knowledge to enhance the users Web experience. These techniques must address important challenges emanating from the size and the heterogeneous nature of the data itself, as wellasthedynamicnatureofuserinteractionswiththeWeb. Thesechallenges include the scalability of the personalization solutions, data integration, and successful integration of techniques from machine learning, information - trievaland?ltering, databases, agentarchitectures, knowledgerepresentation, data mining, text mining, statistics, user modelling and human-computer - teraction. The Semantic Web adds one more dimension to this. The workshop will focus on the semantic web approach to personalization and adaptation. The Web has been formed to be an integral part of numerous applications inwhichauserinteractswithaserviceprovider, productsellers, governmental organisations, friends and colleagues. Content and services are available at di?erent sources and places. Hence, Web applications need to combine all available knowledge in order to form personalized, user-friendly, and busine- optimal serv