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- 2017
基于百科词条的本体概念聚类方法研究
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Abstract:
该文面向本体关系集合的自动构建，提出一种基于百科词条的本体概念聚类方法，用于发现领域概念之间的语义关系。在给定领域本体概念集合的条件下，该方法首先获取相关的百科词条并建立每一概念的向量模型，然后根据距离判别法进行概念聚类，得到概念间的相近关系。采用该方法对3个领域中的领域概念集合进行聚类，实验结果表明，该文方法比传统聚类算法有更好的聚类结果，有助于概念间关系的自动获取和领域本体自动构建。
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