Jeanine M. Williamson, Maggie Albro, Steven D. Milewski, Brianne Dosch, Niki Cobb, Melanie A. Dixson
{"title":"The Development of Search Filters for One Health Articles Using CAB Abstracts Descriptors","authors":"Jeanine M. Williamson, Maggie Albro, Steven D. Milewski, Brianne Dosch, Niki Cobb, Melanie A. Dixson","doi":"10.1080/10496505.2023.2275059","DOIUrl":null,"url":null,"abstract":"AbstractThis 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.Keywords: CAB abstracts descriptorsOne Healthsearch filterssearch hedges Disclosure statementNo potential conflict of interest was reported by the authors.","PeriodicalId":43986,"journal":{"name":"Journal of Agricultural & Food Information","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural & Food Information","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10496505.2023.2275059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractThis 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.Keywords: CAB abstracts descriptorsOne Healthsearch filterssearch hedges Disclosure statementNo potential conflict of interest was reported by the authors.
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