| 基于领域本体的词语相似度计算 |
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| 引用本文： | 杨喜权,国頔娜,胡加·托和塔森,曹雪亚,周建园. 基于领域本体的词语相似度计算[J]. 计算机应用, 2009, 29(Z1) |
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| 作者姓名： | 杨喜权 国頔娜 胡加·托和塔森 曹雪亚 周建园 |
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| 作者单位： | 1. 东北师范大学,计算机学院,长春,130117
2. 伊犁师范学院,计算机科学系,新疆,伊宁,835000 |
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| 摘 要： | 基于领域本体综合考虑属性、语义距离、层次深度和调节因子等多种因素对词语相似度的影响,提出计算词语相似度的方法.实验证明,该方法充分利用了领域本体中概念的层次关系和属性特点,并把它们结合起来,利用词语之间的相似度对文本的向量空间模型进行扩展,达到了较好的文本分类效果.
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| 关 键 词： | 文本分类 领域本体 词语相似度 |
Word similarity computation based on domain ontology |
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| YANG Xi-quan,GUO Di-na,Tohtasen HOJA,CAO Xue-ya,ZHOU Jian-yuan. Word similarity computation based on domain ontology[J]. Journal of Computer Applications, 2009, 29(Z1) |
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| Authors: | YANG Xi-quan GUO Di-na Tohtasen HOJA CAO Xue-ya ZHOU Jian-yuan |
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| Affiliation: | 1.School of Computer;Northeast Normal University;Changchun Jilin 130117;China;2.Department of Computer;Yili normal university;Yili Xinjiang 835000;China |
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| Abstract: | The authors considered property similarity,semantic distance,hierarchy depth,regulatory parameters and other factors on the impact of the word similarity based on ontology,and proposed the method of computing word similarity.Experimental result shows that the method combines the hierarchy relations and properties fully in domain ontology.Based on word similarity,it expands vector space model of document.The result of document classification precision is better than traditional one. |
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| Keywords: | text classification domain ontology word similarity |
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