Dynamic organization of search results using the UMLS
Dynamic organization of search results using the UMLS
复制标题
DOI：
--
复制
发表时间：
1997
期刊：
影响因子：
--
通讯作者：
W. Pratt
中科院分区：
文献类型：
--
作者：
W. Pratt
当人们搜索医学文献时，他们常常会被检索到的大量文献不知所措。许多系统试图通过帮助用户制定更具体的搜索策略来解决这个问题。然而，当用户没有更具体的问题时，他们需要工具来帮助他们探索和理解结果，而不是消除这些结果的一部分。本文描述了一种解决这一需求的方法，该方法根据用户的查询自动将广泛搜索的结果分组为有意义的类别。该方法通过利用 UMLS 中存在的领域知识，将聚类技术的主要优点与分类技术的主要优点结合起来。我提出了一项初步评估，表明这种方法产生的分类与医生的分类相当吻合。
When people search the medical literature, they often are overwhelmed by the large number of documents retrieved. Many systems try to solve this problem by helping the user formulate a more specific search strategy. However, when users do not have a more specific question, they need tools to help them explore and understand the results, rather than to eliminate a portion of those results. This paper describes an approach that addresses this need by automatically grouping the results of a broad search into meaningful categories based on the user's query. This approach combines the main benefit of clustering techniques with the main benefit of classification techniques by taking advantage of the domain knowledge present in the UMLS. I present a preliminary evaluation that demonstrates that a categorization produced by this approach corresponds reasonably well to a physician's categorization.