Query expansion with a medical ontology to improve a multimodal information retrieval system
Query expansion with a medical ontology to improve a multimodal information retrieval system
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DOI：
10.1016/j.compbiomed.2009.01.012
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发表时间：
2009-04-01
影响因子：
7.7
通讯作者：
Urena-Lopez, L. A.
中科院分区：
文献类型：
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作者：
Diaz-Galiano, M. C.;Martin-Valdivia, M. T.;Urena-Lopez, L. A.
在大量的医学数据中搜索生物医学信息是一项复杂的任务。使用工具和生物医学资源可以方便检索所需信息。在本文中，我们使用医学本体MeSH，以改善多模态信息检索系统，通过扩展用户的查询与医学术语。为了完成我们的实验，我们使用了ImageCLEFmed任务组织者提供的2005年和2006年的数据集。该数据集由临床病例的多模态集合（图像和文本）组成。每年的查询列表，以及用于评估结果的每个查询的相关性判断列表。实验结果表明，使用医学本体扩展查询大大提高了结果。皇冠版权所有（c）2009年出版的爱思唯尔有限公司保留所有权利。
Searching biomedical information in a large collection of medical data is a complex task. The use of tools and biomedical resources could ease the retrieval of the information desired. In this paper, we use the medical ontology MeSH to improve a Multimodal Information Retrieval System by expanding the user's query with medical terms. in order to accomplish our experiments, we have used the dataset provided by ImageCLEFmed task organizers for years 2005 and 2006. This dataset is composed of a multimodal collection (images and text) of clinical cases. a list of queries for each year, and a list of relevance judgments for each query to evaluate the results. The results from the experiments show that the use of a medical ontology to expand the queries greatly improves the results. Crown Copyright (c) 2009 Published by Elsevier Ltd. All rights reserved.