An artificial intelligence approach to the design of online information retrieval systems
An artificial intelligence approach to the design of online information retrieval systems
Evaluating decision support and expert systems
Evaluating decision support and expert systems
Effects of conceptual instruction on subject-searching performance in a computerized library catalog
Effects of conceptual instruction on subject-searching performance in a computerized library catalog
Effects of multimedia on document browsing and navigation: an exploratory empirical investigation
Information and Management
Nstar: an interactive tool for local web search
Information and Management
Best practices and future visions for search user interfaces
Journal of the American Society for Information Science and Technology
Expert Systems with Applications: An International Journal
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Search performance can be greatly improved by using domain knowledge to assist users in developing a problem specification tailored to the information contained in the system. A methodology is presented for utilizing intelligent information retrieval techniques and domain-specific knowledge to improve user searching. For databases involving a relatively narrow domain, a "system thesaurus" combined with expert systems technology can be used to create an intelligent front end to assist the user in retrieving information with greater precision and recall Evaluation of the prototype showed greatly improved search effectiveness and satisfaction over the traditional catalog system.