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Related Experiment Videos

Introducing a conceptual information retrieval (IR) framework.

Yuri Kagolovsky1, Jochen R Moehr

  • 1School of Health Information Science, University of Victoria, PO Box 3050, Victoria, British Columbia, Canada V8W 3P5. ykagolov@uvic.ca

Journal of Medical Systems
|June 3, 2004
PubMed
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This study applies a systems analytic approach to information retrieval (IR) evaluation. It critiques existing methods and proposes new models for IR components and processes to address identified problems.

Area of Science:

  • Information Science
  • Computer Science
  • Systems Analysis

Background:

  • Previous articles identified terminological and evaluation challenges in information retrieval (IR).
  • A systems analytic approach was proposed as a solution to these IR challenges.

Purpose of the Study:

  • To present and critique existing attempts to apply a systems analytic approach to IR.
  • To propose a novel framework for IR evaluation based on a systems analytic perspective.

Main Methods:

  • General discussion of the systems approach.
  • Critique of IR modeling, boundary identification, variable investigation, and evaluation framework creation.
  • Identification of IR components, boundaries, and relationships.

Main Results:

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  • Existing applications of systems analysis to IR were found to be insufficient.
  • Two new models for IR were developed: a component-relationship model and a process model.

Conclusions:

  • The proposed models offer a structured framework for addressing IR evaluation problems.
  • A systems analytic approach, when properly applied, can enhance the evaluation of information retrieval systems.