TITLE: A Framework for the Organization and Discovery of Information Resources in a WWW Environment using Association, Classification and Deduction

WHEN: Wednesday, Nov 26, 10AM-12PM

WHERE: 1st Fl. Conference Room, IS Bldg.

WHO: Marut Buranarach

Committee:

1) Prof. Stephen Hirtle, DIST
2) Prof. Ronald Larsen, SIS
3) Prof. Michael Spring,  DIST, Committee Chair 
4) Prof. Janyce Wiebe, Department of Computer Science
5) Prof. Vladimir Zadorozhny,  DIST

ABSTRACT: The Semantic Web is envisioned as a next-generation WWW environment in which information is given well-defined meaning. Although the standards for the Semantic Web are being established, it is as yet unclear how the Semantic Web could enable the information on the WWW to be organized and discovered more effectively. This dissertation research looks at the traditional approaches of organizing information using association and classification. It proposes that deduction may be used to supplement these forms to provide a more comprehensive system for organization of collections. A system implementation utilizing the Resource Description Framework (RDF) and the DARPA Agent Markup Language (DAML) is elaborated. Description logic system is utilized in achieving automated deduction. Further, this dissertation research proposes to assess the impact of the deduction system on retrieval effectiveness. The assessments will be conducted over the partial book collection of Amazon.com. The results are expected to provide recommendations for the implementation of a similar system in the context of the WWW.