Version 2.5.2.0

Abstract

Grant Number:	1F38LM000090-01
Project Title:	MAPPING SNOMED VETERINARY TERMINOLOGY TO QUALIFIED MESH

PI Information:	Name	Email	Title
	SEWELL, ROBIN R.

Abstract: DESCRIPTION The goal of this fellowship will be to design and test an algorithm and write a program to automate mapping SNOMED International veterinary terminology to MeSH synonyms to facilitate subject searching for veterinary literature contained in the National Library of Medicine Medline database. Fur the purpose of this application simple mapping refers to finding a path from a work in one medical vocabulary, in this case SNOMED International, to a synonym or synonyms in another vocabulary, such as MeSH. The small animal veterinary disease, diagnosis terms from SNOMED International will be used as the testbed. The following hypotheses will be tested: 1) It is possible to develop an algorithm to map fine-grained SNOMED veterinary terminology to synonyms in the form of qualified MeSH headings that will retain the meaning of the original veterinary term. 2) Simple mapping of the SNOMED veterinary terminology to qualified MeSH headings will improve precision of information retrieval over that of simple keyword searching. Evaluations will be performed on the algorithms ability to correctly map the SNOMED testbed, and the ability to retrieve precise documents using the mapped MeSH terms with qualifiers.

Public Health Relevance:
This Public Health Relevance is not available.

Thesaurus Terms:
computer program /software, computer system design /evaluation, veterinary science, vocabulary development for information system
information retrieval

Institution:	UNIVERSITY OF ARIZONA
	PO BOX 3308
	TUCSON, AZ 857223308
Fiscal Year:	2000
Department:	NONE
Project Start:	15-AUG-2000
Project End:
ICD:	NATIONAL LIBRARY OF MEDICINE
IRG:	BLR

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