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Semantically assisted medical bibliographic retrieval: an experimental computer system
P L Miller1, J S Morrow, S M Powsner
1Department of Anesthesiology, Yale University School of Medicine, New Haven, Connecticut 06510.
Bulletin of the Medical Library Association
|April 1, 1988
Summary
This study developed a computer system to analyze semantic relationships between Medical Subject Headings (MeSH) terms. Incorporating these conceptual links enhances bibliographic retrieval accuracy in databases.
Area of Science:
- Information Science
- Medical Informatics
- Computer Science
Background:
- Bibliographic retrieval systems often rely on keyword matching.
- Understanding the conceptual relationships between terms can improve search precision.
- Medical Subject Headings (MeSH) provide a standardized vocabulary for indexing biomedical literature.
Purpose of the Study:
- To investigate the utility of semantic relationships between MeSH terms for enhancing bibliographic retrieval.
- To develop and test a computer-based system that incorporates these relationships.
Main Methods:
- Generated MEDLINE abstract lists based on specific MeSH term pairs.
- Analyzed abstracts to identify and categorize semantic relationships between the paired terms.
- Developed algorithms to integrate identified semantic relationships into a retrieval system.
Main Results:
- Demonstrated that semantic relationships between MeSH terms can be systematically identified from abstracts.
- Showcased the potential for computer systems to leverage these relationships for improved information retrieval.
- The experimental system showed promise in enhancing the precision of search results.
Conclusions:
- Semantic analysis of MeSH term relationships offers a valuable approach to augment traditional bibliographic retrieval.
- Computer-based systems can effectively utilize conceptual links to refine search strategies.
- Further development in this area could significantly advance biomedical information access.