Knowledge-based document retrieval

Framework and design

Research output: Contribution to journalArticle

12 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)293-314
Number of pages22
JournalJournal of Information Science
Volume18
Issue number4
StatePublished - 1992

Fingerprint

Semantics
Information retrieval systems
semantics
knowledge
functionality
heuristics
assistance
expert

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

Cite this

Knowledge-based document retrieval : Framework and design. / Chen, Hsinchun.

In: Journal of Information Science, Vol. 18, No. 4, 1992, p. 293-314.

Research output: Contribution to journalArticle

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