Title page for ETD etd-04102006-100631

Type of Document

Dissertation

Author

Yi, Myongho

Author's Email Address

myonghoyi@gmail.com

URN

etd-04102006-100631

Title

User Performance Using an Ontology-Driven Information Retrieval (ONTOIR)System

Degree

Doctor of Philosophy

Department

Information Studies, College of

Advisory Committee

Advisor Name	Title
Kathleen Burnett	Committee Chair
Akihito Kamata	Committee Member
Darrell Burke	Committee Member
Gary Burnett	Committee Member
Kyunghye Kim	Committee Member

Keywords

Information Retrieval
Topic Maps
Ontology
Information Organization

Date of Defense

2006-03-31

Availability

unrestricted

Abstract

Enhancing the representation and relationship of information through ontology is a promising alternative approach for knowledge organization. This improved knowledge organization is vital for collocation of information and effective and efficient searching. This study concerned the testing of user performance when searching an ontology-driven information retrieval (ONTOIR) system that shows explicit relationships among resources. The study explores the possibilities of improving user performance in searching for information. The goal was to examine whether or not ontology enhances user performance in terms of recall and search time. The experiment was conducted with 40 participants to evaluate and compare the differences in user performance (recall and search time) between an ontology-driven information retrieval system and a traditional, thesaurus-driven information retrieval system.

Better recall and shorter search time were found when conducting relationship-based queries in an ontology-driven information retrieval system as compared to a thesaurus-based system. . Further studies comparing user performance with a cluster-based search engine and an ontology-driven information retrieval system are needed.

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