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Information retrieval: an overview of system characteristics
F Wiesman1, A Hasman, H J van den Herik
1Department of Medical Informatics, Maastricht University, The Netherlands. weisman@mi.unimaas.nl
International Journal of Medical Informatics
|March 20, 1998
Summary
This study overviews information retrieval (IR) system characteristics and models. It establishes the relevance of these systems for the World Wide Web.
Area of Science:
- Information Science
- Computer Science
Background:
- Information retrieval (IR) systems are crucial for accessing data.
- Understanding IR system characteristics is key to their effective design and application.
Purpose of the Study:
- To provide a comprehensive overview of information retrieval system characteristics.
- To discuss prominent IR models and their features.
- To establish the relevance of IR systems for the World Wide Web.
Main Methods:
- Analysis of descriptions from 23 information retrieval systems.
- Identification and discussion of key IR system characteristics.
- Review of four major IR models: Boolean, vector, probabilistic, and connectionistic.
Main Results:
- Identified 12 additional characteristics of IR models, including relevance feedback, natural language interface, and machine learning.
- Detailed discussion of Boolean, vector, probabilistic, and connectionistic IR models.
- Established the significant relevance of IR systems for World Wide Web applications.
Conclusions:
- Information retrieval systems possess diverse characteristics that influence their performance.
- The discussed IR models offer different approaches to information access.
- IR systems are highly relevant and essential for navigating and utilizing the vast information on the World Wide Web.