Miller P L, Barwick K W, Morrow J S, Powsner S M, Riely C A
Department of Anesthesiology, Yale University School of Medicine, New Haven, Connecticut.
Comput Biomed Res. 1988 Feb;21(1):64-77. doi: 10.1016/0010-4809(88)90043-2.
This paper describes a project exploring whether semantic relationships between bibliographic terms may effectively partition the clinical literature. To address this question, a set of semantic relationships was identified between pairs of bibliographic terms taken from four categories: (1) diseases, (2) treatments, (3) tests, and (4) patient characteristics. The MEDLINE system of the National Library of Medicine was used to generate lists of abstracts relating to pairs of clinical terms. Each list of abstracts was examined to identify the semantic relationships, if any, which applied to the two terms in each paper. The study suggests that semantic relationships may play a potentially valuable role in assisting computer-based medical bibliographic retrieval. The degree to which relationships partition the literature is strongly dependent on the underlying semantics of the particular bibliographic terms involved.
本文描述了一个项目，该项目探索书目术语之间的语义关系是否可以有效地划分临床文献。为了解决这个问题，从四个类别中提取的书目术语对之间确定了一组语义关系：（1）疾病，（2）治疗方法，（3）检查，以及（4）患者特征。使用美国国立医学图书馆的MEDLINE系统生成与临床术语对相关的摘要列表。检查每个摘要列表，以确定适用于每篇论文中两个术语的语义关系（如果有的话）。该研究表明，语义关系可能在协助基于计算机的医学书目检索中发挥潜在的重要作用。关系对文献进行划分的程度在很大程度上取决于所涉及的特定书目术语的潜在语义。
