基于词库的查询和基于UMLS的概念索引中的文档扩展:在医学信息检索中的应用

Diem Thi Hoang Le, J. Chevallet, D. T. Thuy
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引用次数: 20

摘要

UMLS是由美国国家医学图书馆构建的生物医学领域最大的词典。本文旨在通过将集合ImageCLEFMed的大文本映射到UMLS概念,并基于UMLS层次结构中的语义关系自动扩展查询和文档,来评估UMLS知识探索在医学领域信息检索中的效果。我们得到了令人鼓舞的结果,MAP的最佳增强是与纯文本检索相比66%,与概念索引基线相比34%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thesaurus-based query and document expansion in conceptual indexing with UMLS: Application in medical information retrieval
UMLS is known as largest thesaurus in biomedical domain constructed by Library National of Medicine. In this paper, we aim to evaluate effect of the exploration of UMLS knowledge in medical domain information retrieval by mapping large text of collection ImageCLEFMed to UMLS concepts, and expanding queries and documents automatically base on semantic relations in the UMLS hierarchy. We get the encouraging result with the best enhancement on MAP of 66% compared to text only retrieval, and 34% compared to conceptual indexing baseline.
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