User Performance Using An Ontology-Driven Information Retrieval (ONTOIR) System Authors: Myongho Yi
Also published by VDM Verlag User Performance Using An Ontology-Driven Information Retrieval (ONTOIR) System
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.
FYI, the first link is $89.00 less than the second one.
A topic map used to deliver an ontology driven search and navigation of information interface.