Knowledge-based document retrieval: framework and design
- 1 August 1992
- journal article
- other
- Published by SAGE Publications in Journal of Information Science
- Vol. 18 (4) , 293-314
- https://doi.org/10.1177/016555159201800407
Abstract
This article presents research on the design of knowledge-based document retrieval systems. We adopted a semantic network structure to represent subject knowledge and clissification scheme knowledge and modeled experts search strategies and user modeling capability as procedural knowledge. These functionalities were incorporated into a prototype knowledge-based retrieval system. Metacat. Our system, the design of which was based on the blackboard architecture was able to create a user profile, identify task requirements, suggest heuristics-based search strategies, per form semantic-based search assistance and assist online query refinement.Keywords
This publication has 28 references indexed in Scilit:
- Development and application of a metric on semantic netsIEEE Transactions on Systems, Man, and Cybernetics, 1989
- CANSEARCH: An expert systems approach to document retrievalInformation Processing & Management, 1987
- Principles, procedures and rules in an expert system for information retrievalInformation Processing & Management, 1985
- Building a user-derived interfaceCommunications of the ACM, 1984
- Distributed expert problem treatment as a model for information system analysis and designJournal of Information Science, 1982
- ASK FOR INFORMATION RETRIEVAL: PART I. BACKGROUND AND THEORYJournal of Documentation, 1982
- The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve UncertaintyACM Computing Surveys, 1980
- Information search tacticsJournal of the American Society for Information Science, 1979
- Information-seeking behavior of catalog usersInformation Storage and Retrieval, 1970
- The process of asking questionsAmerican Documentation, 1962