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基于领域本体的文档向量空间模型构建

郝文宁 冯波 陈刚 靳大尉 赵水宁

计算机应用研究2013,Vol.30Issue(3):764-767,4.
计算机应用研究2013,Vol.30Issue(3):764-767,4.DOI:10.3969/j.issn.1001-3695.2013.03.031

基于领域本体的文档向量空间模型构建

Document vector space model construction based on domain ontology

郝文宁 1冯波 1陈刚 1靳大尉 1赵水宁1

作者信息

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摘要

Abstract

As VSM couldn' t reveal the same conceptual semantics hidden in different feature words and the latent semantic relations in the documents and had a low accuracy in document similarity calculation, this paper presented DOBVSM. This model added the conceptions in domain ontology to the feature word set, and then adjusted the weight of feature words using the relation between conceptions, constructed the document DOBVSM contains semantic relations. Experimental analysis show that the documents' similarity computed by DOBVSM was more divergent, closest to the expert evaluation and can perform batter in document similarity.

关键词

领域本体/向量空间模型/相似度/语义关系/基于领域本体向量空间模型

Key words

domain ontology/ VSM model/ similarity/ semantic relation/ DOBVSM

分类

信息技术与安全科学

引用本文复制引用

郝文宁,冯波,陈刚,靳大尉,赵水宁..基于领域本体的文档向量空间模型构建[J].计算机应用研究,2013,30(3):764-767,4.

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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