The Development of Search Filters for One Health Articles Using CAB Abstracts Descriptors

被引：0

作者：

Williamson, Jeanine M. ^{[1
]}

Albro, Maggie ^{[1
]}

Milewski, Steven D. ^{[1
]}

Dosch, Brianne ^{[1
]}

Cobb, Niki ^{[1
]}

Dixson, Melanie A. ^{[1
]}

机构：

[1] Univ Tennessee, Lib, Knoxville, TN 37996 USA

来源：

JOURNAL OF AGRICULTURAL & FOOD INFORMATION | 2023年 / 24卷 / 1-4期

关键词：

CAB abstracts descriptors; One Health; search filters; search hedges;

D O I：

10.1080/10496505.2023.2275059

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

This study seeks to develop and test the recall of two search hedges for One Health articles. CAB Abstracts was searched, and the first 100 relevance-ranked results were downloaded. The most frequent co-occurrences of CAB descriptors were used to develop a hedge. A second hedge was developed using the descriptors and related natural language keywords. The natural language hedge had better recall (100% and 95%, respectively) than the co-occurrence hedge (24% and 86%, respectively). When searching a broad-based topic area like One Health, there is a need for expansive language to incorporate multiple expressions of a concept.

引用

页码：29 / 39

页数：11

共 18 条

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