An evaluation of retrieval effectiveness for a full-text document-retrieval system
Communications of the ACM
Principles, procedures and rules in an expert system for information retrieval
Information Processing and Management: an International Journal
PLEXUS-The expert system for referral
Information Processing and Management: an International Journal - Expert systems and library information science
A prototype of an intelligent system for information retrieval: IOTA
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
Why do some people have more difficulty learning to use an information retrieval system than others?
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
An advanced full-text retrieval and analysis system
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Conceptual information retrieval using RUBRIC
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
An expert system for searching in full-text
Information Processing and Management: an International Journal
In search of knowledge-based search tactics
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
An expert system for searching in full-text
An expert system for searching in full-text
Incremental relevance feedback
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
| Hi-index | 0.00 |
This paper presents a prototype expert system which provides online search assistance. The expert system automatically reformulates queries, using an online thesaurus as the source of domain knowledge, and a knowledge base of domain-independent search tactics. The expert system works with a full-text database which requires no syntactic or semantic pre-processing. In addition, the expert system ranks the retrieved passages in decreasing order of probable relevance.Users' search performance using the expert system was compared with their search performance on their own, and their search performance using the online thesaurus. The following conclusions were reached: 1) The expert system significantly reduced the number of queries necessary to find relevant passages compared with the user searching alone or with the thesaurus. 2) The expert system produced marginally significant improvements in precision compared with the user searching on their own. There was no significant difference in the recall achieved by the three system configurations. 3) Overall, the expert system ranked relevant passages above irrelevant passages.