生物医学期刊文章中的作者关键词。
Author keywords in biomedical journal articles.
作者信息
Névéol Aurélie, Doğan Rezarta Islamaj, Lu Zhiyong
机构信息
National Library of Medicine Bethesda, MD 20894.
出版信息
AMIA Annu Symp Proc. 2010 Nov 13;2010:537-41.
As an information retrieval system, PubMed(®) aims at providing efficient access to documents cited in MEDLINE(®). For this purpose, it relies on matching representations of documents, as provided by authors and indexers to user queries. In this paper, we describe the growth of author keywords in biomedical journal articles and present a comparative study of author keywords and MeSH(®) indexing terms assigned by MEDLINE indexers to PubMed Central Open Access articles. A similarity metric is used to assess automatically the relatedness between pairs of author keywords and indexing terms. A set of 300 pairs is manually reviewed to evaluate the metric and characterize the relationships between author keywords and indexing terms. Results show that author keywords are increasingly available in biomedical articles and that over 60% of author keywords can be linked to a closely related indexing term. Finally, we discuss the potential impact of this work on indexing and terminology development.
作为一个信息检索系统，PubMed（®）旨在提供对MEDLINE（®）中引用文献的高效访问。为此，它依赖于作者和标引人员提供的文献表示形式与用户查询进行匹配。在本文中，我们描述了生物医学期刊文章中作者关键词的增长情况，并对MEDLINE标引人员为PubMed Central开放获取文章分配的作者关键词和医学主题词（MeSH，®）标引词进行了比较研究。使用一种相似性度量来自动评估作者关键词对与标引词之间的相关性。人工审查了一组300对关键词，以评估该度量并描述作者关键词与标引词之间的关系。结果表明，作者关键词在生物医学文章中越来越普遍，超过60%的作者关键词可以与一个密切相关的标引词相关联。最后，我们讨论了这项工作对标引和术语发展的潜在影响。
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