Type of Document Dissertation Author Lei, Li Author's Email Address lilei72@gmail.com URN etd-08142007-122353 Title Generating User-centric Dynamic and Adaptable Knowledge Models for World Wide Web Degree Ph.D. Department Computer Information Systems Advisory Committee
Advisor Name Title Dr. Vijay K. Vaishnavi Committee Chair David Washburn Committee Member Dr. Richard Baskerville Committee Member Mark Keil Committee Member Yanqing Zhang Committee Member Keywords
- Knowledge model
- Dynamic
- Adaptable
- User-centric
- Clustering
- Web
Date of Defense 2007-07-11 Availability unrestricted Abstract GENERATING USER-CENTRIC DYNAMIC AND ADAPTABLE KNOWLEDGE MODELS FOR WORLD WIDE WEBBy
LEI LI
JUNE, 2007
Committee Chair: Dr. Vijay Vaishnavi
Major Department: Computer Information Systems
In the current Internet age, more and more people, organizations, and businesses access the web to share and search for information. A web-based resource is often organized and presented based on its knowledge models (categorization structures). The static and inflexible knowledge models of web-based resources have become a major challenge for web users to successfully use and understand the information on the web.
In this dissertation, I propose a research approach to generate user-centric dynamic and adaptable knowledge models for web-based resources. The user-centric feature means that a knowledge model is created based on a web user specified perspective for a web resource and that the user can provide feedback on the model building process. The dynamic feature means the knowledge models are built on the fly. The adaptable feature means the web user can have control of the user adaptation process by specifying his or her perspective for the web resource of interest.
In this study, I apply a design science paradigm and follow the General Design Cycle (Vaishnavi and Kuechler 2004) during the course of research. A research prototype, Semantic Facilitator TM SM V2.0, has been implemented based on the proposed approach. A simulation-based experimentation is used to evaluate the research prototype. The experimental results show that the proposed research approach can effectively and efficiently create knowledge models on the fly based on a web user preferred perspective for the web resource. I found that incorporating user feedback into the modeling building process can greatly improve the quality of the knowledge models. At the end of the dissertation, I discuss the limitations and future directions of this research.
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