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An Ontology Based Method to Solve Query Identifier Heterogeneity in Post-Genomic Clinical Trials

机译:基于本体学基于基因组临床试验中查询标识符异质性的方法

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The increasing amount of information available for biomedical research has led to issues related to knowledge discovery in large collections of data. Moreover, Information Retrieval techniques must consider heterogeneities present in databases, initially belonging to different domains-e.g. clinical and genetic data. One of the goals, among others, of the ACGT European is to provide seamless and homogeneous access to integrated databases. In this work, we describe an approach to overcome heterogeneities in identifiers inside queries. We present an ontology classifying the most common identifier semantic heterogeneities, and a service that makes use of it to cope with the problem using the described approach. Finally, we illustrate the solution by analysing a set of real queries.
机译:可用于生物医学研究的信息越来越多的信息导致与大量数据集中的知识发现有关的问题。此外,信息检索技术必须考虑数据库中存在的异质性,最初属于不同的域-e.g。临床和遗传数据。 ACGT欧洲的其他目标之一是提供无缝和同质的对集成数据库的访问。在这项工作中,我们描述了一种克服查询内标识符中异质性的方法。我们介绍了一个分类最常见的标识符语义异质性的本体,以及利用它使用所描述的方法应对问题的服务。最后,我们通过分析一组真正的查询来说明解决方案。

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