Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

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

Buranarach, Marut (2005) A Framework for the Organization and Discovery of Information Resources in a WWW Environment Using Association, Classification and Deduction. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

PDF (A Framework for the Organization and Discovery of Information Resources in a Www Environment Using Association, Classification and Deduction)
Primary Text

Download (2MB) | Preview
PDF (Second Copy of ETD)
Supplemental Material

Download (2MB) | Preview


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 will allow information resources to be effectively organized and discovered in an automated fashion. This dissertation research explores the organization and discovery of resources for the Semantic Web. It assumes that resources on the Semantic Web will be retrieved based on metadata and ontologies that will provide an effective basis for automated deduction. An integrated deduction system based on the Resource Description Framework (RDF), the DARPA Agent Markup Language (DAML) and description logic (DL) was built. A case study was conducted to study the system effectiveness in retrieving resources in a large Web resource collection. The results showed that deduction has an overall positive impact on the retrieval of the collection over the defined queries. The greatest positive impact occurred when precision was perfect with no decrease in recall. The sensitivity analysis was conducted over properties of resources, subject categories, query expressions and relevance judgment in observing their relationships with the retrieval performance. The results highlight both the potentials and various issues in applying deduction over metadata and ontologies. Further investigation will be required for additional improvement. The factors that can contribute to degraded performance were identified and addressed. Some guidelines were developed based on the lessons learned from the case study for the development of Semantic Web data and systems.


Social Networking:
Share |


Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairSpring, Michael Bspring@imap.pitt.eduSPRING
Committee MemberWiebe, Janyce Mwiebe@cs.pitt.eduJMW106
Committee MemberLarsen, Ronald Lrlarsen@mail.sis.pitt.eduRLARSEN
Committee MemberHirtle, Stephen Chirtle@pitt.eduHIRTLE
Committee MemberZadorozhny, Vladimir Ivladimir@mail.sis.pitt.eduVIZ
Date: 28 January 2005
Date Type: Completion
Defense Date: 13 December 2004
Approval Date: 28 January 2005
Submission Date: 16 December 2004
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: description logic; metadata; ontology; RDF; search; Semantic Web
Other ID:, etd-12162004-222001
Date Deposited: 10 Nov 2011 20:11
Last Modified: 15 Nov 2016 13:54


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item