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Knowledge-Based Document Retrieval: Framework and Design

Chen, Hsinchun (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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