On the basis of an improved semantic affinity based term clustering algorithm, a semantic-based clustering approach for concept generation is proposed. Domain concepts are generated through semantic affinity based term clustering while terms are extracted from term sets of heterogeneous knowledge sources.
改进了基于语义相似度的术语聚类算法,在此基础上提出了基于语义聚类的概念生成方法,其基本思想是由各知识源的术语集合,通过基于语义相似度的术语聚类,生成领域概念。
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