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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
Summary
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:
- 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.