Comparison of decision support strategies in expert consultation systems
International Journal of Man-Machine Studies
The blackboard model of problem solving
AI Magazine
Information retrieval by constrained spreading activation in semantic networks
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
I3R: a new approach to the design of document retrieval systems
Journal of the American Society for Information Science
User misconceptions of information retrieval systems
International Journal of Man-Machine Studies
An artificial intelligence approach to the design of online information retrieval systems
An artificial intelligence approach to the design of online information retrieval systems
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
An object-oriented methodology for knowledge base/database coupling
Communications of the ACM
Towards next generation citeseer: a flexible architecture for digital library deployment
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Hi-index | 0.02 |
This article presents a knowledge-based approach to the design of document-based retrieval systems. We conducted two empirical studies investigating the users' behavior using an online catalog. The studies revealed a range of knowledge elements which are necessary for performing a successful search. We proposed a semantic network based representation to capture these knowledge elements. The findings we derived from our empirical studies were used to construct a knowledge-based retrieval system. We performed a laboratory experiment to evaluate the search performance of our system. The experiment showed that our system out-performed a conventional retrieval system in recall and user satisfaction. The implications of our study to the design of document-based retrieval systems are also discussed in this article.