A computerized English-Spanish correlation index to five biomedical library classification schemes based on MeSH

Area of Science:

• Bibliometrics and Information Science
• Medical Informatics
• Library Science

Background:

• Biomedical libraries utilize various classification schemes for organizing resources.
• Standardization and cross-language accessibility of these schemes present challenges.
• The Medical Subject Headings (MeSH) is a crucial controlled vocabulary in biomedicine.

Purpose of the Study:

• To develop a computerized English/Spanish correlation index linking MeSH to five major biomedical classification schemes.
• To create a bilingual (English/Spanish) listing of MeSH terms.
• To facilitate cross-classification and potential automatic classification applications.

Main Methods:

• Integrated five classification schemes (NLM, LC, Dewey, Cunningham, Boston Medical) with MeSH and its Spanish translation.
• Data processing involved keypunching, magnetic tape merging, and computer sorting by subject headings and classification numbers.
• Generated an alphabetical index by English and Spanish subject headings and a sequential index by classification number.

Main Results:

• A comprehensive computerized index correlating MeSH terms with five biomedical classification systems in both English and Spanish.
• Provided a tool for converting classification numbers, aiding in collection reclassification.
• Established a foundational database for future applications, including automatic classification.

Conclusions:

• The developed index enhances the usability and interoperability of biomedical classification schemes.
• It serves as a valuable resource for librarians, researchers, and information scientists.
• The system is extensible to include additional classification schemes and languages.