基于叙词表的关键词共现网络优化 |
投稿时间:2018-03-21 点此下载全文 |
引用本文:曹丽珠,宋培彦.基于叙词表的关键词共现网络优化[J].医学信息学杂志,2018,39(5):65-71 |
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基金项目:2016国家社会科学基金项目“基于知识组织的科研项目评审专家发现研究”(项目编号:16BTQ079)。 |
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中文摘要:以“白血病”为例提出基于叙词表优化关键词共现网络的方法,形成共现网络优化模型,采用模糊聚类方法对基于叙词表的数据进行优化聚类,指出该方法有助于优化聚拢共现网络,提高共现网络的中心聚集度和密度。 |
中文关键词:叙词表 模糊聚类 知识组织 |
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Optimization of Keywords Co-occurrence Network Based on Thesaurus |
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Abstract:Taking "leukemia" as an example, the paper sets forward the method optimizing keywords co-occurrence network based on thesaurus to form the co-occurrence network optimization model, which carries out optimization clustering on data based on thesaurus through fuzzy clustering, and it points out that the method is conducive to optimization and clustering of the co-occurrence network and increase in the central concentration and density of the co-occurrence network. |
keywords:Thesaurus Fuzzy clustering Knowledge organization |
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