An approach to semantic query expansion system based on Hepatitis ontology.

IF 1.9 3区 生物学 Q2 BIOLOGY
Journal of Biological Research-Thessaloniki Pub Date : 2016-07-04 eCollection Date: 2016-05-01 DOI:10.1186/s40709-016-0044-9
Chen Yunzhi, Lu Huijuan, Linda Shapiro, Ravensara S Travillian, Li Lanjuan
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引用次数: 26

Abstract

Background: Ontology development, as an increasingly practical vehicle applied in various fields, plays a significant role in knowledge management. This paper, focusing on constructing and querying a hepatitis ontology, aims to provide a framework for ontology-based medical services. The paper is devoted to the algorithm of query expansion for the hepatitis ontology, including synonym expansion, hypernym/hyponym expansion and expansion of similar words. It applies semantic similarity calculation to judge the similarity of retrieval terms.

Results: The paper proposes a new prototype system. The accuracy of query expansion is improved in both precision@40 and AP@40, which indicates that query expansion improves the accuracy of the query after using the method proposed in this paper.

Conclusions: The paper has adopted semantic similarity computing to improve retrieval performance. Experiments show that search precision of query expansion is higher based on domain concept relationship.

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一种基于肝炎本体的语义查询扩展系统方法。
背景:本体开发作为一种越来越实用的工具应用于各个领域,在知识管理中发挥着重要的作用。本文主要研究肝炎本体的构建和查询,旨在为基于本体的医疗服务提供一个框架。本文研究了肝炎本体的查询扩展算法,包括同义词扩展、上下词扩展和相似词扩展。它采用语义相似度计算来判断检索词的相似度。结果:本文提出了一种新的原型系统。在precision@40和AP@40中都提高了查询扩展的准确性,说明使用本文提出的方法后,查询扩展提高了查询的准确性。结论:本文采用语义相似度计算提高了检索性能。实验表明,基于领域概念关系的查询扩展具有较高的搜索精度。
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来源期刊
CiteScore
5.20
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Journal of Biological Research-Thessaloniki is a peer-reviewed, open access, international journal that publishes articles providing novel insights into the major fields of biology. Topics covered in Journal of Biological Research-Thessaloniki include, but are not limited to: molecular biology, cytology, genetics, evolutionary biology, morphology, development and differentiation, taxonomy, bioinformatics, physiology, marine biology, behaviour, ecology and conservation.
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