Generating Dynamic and Adaptive Knowledge Models for Web-Based Resources
Lei Li, Vijay K. Vashnavi, Art Vandenberg, Seema Metikurke · 2006
Abstract: The number of web pages on the World Wide Web continues to grow exponentially as more and more people, organizations, and businesses rely on the Internet to share and search information. These web-based resources are generally organized and presented in a hierarchical manner based on a certain categorization structure. We call the categorization structures used for organizing web-based resources their respective knowledge models. Such knowledge models are usually static: their creation and maintenance is normally done manually offline or in a humanmediated manner that makes it difficult and time-consuming to adapt them to the dynamically changing web-based resources. More importantly, while different users may have different perspectives and needs with respect to the existing knowledge model, they are restricted to use the view provided by the current model. For example, in a university website, faculty members are usually listed by departments. A web user may instead want to view how the faculties can be grouped by their research interests. In this paper, we propose a user centric approach that will automatically identify the web resources of interest and systematically generate and maintain knowledge models for the identified web resources while adapting to different user viewpoints. We apply such technologies