Concept-based biomedical text retrieval

Ming Zhong, Xiangji Huang
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引用次数: 28

Abstract

One challenging problem for biomedical text retrieval is to find accurate synonyms or name variants for biomedical entities. In this paper, we propose a new concept-based approach to tackle this problem. In this approach, a set of concepts instead of keywords will be extracted from a query first. Then these concepts will be used for retrieval purpose. The experiment results show that the proposed approach can boost the retrieval performance and it generates very good results on 2005 TREC Genomics data sets.
基于概念的生物医学文本检索
生物医学文本检索中一个具有挑战性的问题是如何找到准确的生物医学实体的同义词或名称变体。在本文中,我们提出了一种新的基于概念的方法来解决这个问题。在这种方法中,首先从查询中提取一组概念而不是关键字。然后这些概念将用于检索目的。实验结果表明,该方法可以提高检索性能,并在2005年TREC Genomics数据集上取得了很好的检索结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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