Knowledge-Based Document Retrieval: Framework and Design
(1992) Knowledge-Based Document Retrieval: Framework and Design. Journal of Information Science: Principles and Practice 18(3):pp. 293-314.
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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 classification 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, perform semantic-based search assistance, and assist online query refinement.
| EPrint Type: | Journal Article (Paginated) |
|---|---|
| Keywords: | National Science Digital Library, NSDL, Artificial Intelligence Lab, AI Lab, Information Retrieval |
| Subjects: | Artificial Intelligence Information Extraction |
| ID Code: | 507 |
| Deposited On: | 01 October 2004 |
| Alternative Locations: | http://ai.bpa.arizona.edu/go/papers.html |
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