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A Fuzzy Contrast Model to Measure Semantic Similarity Between OWL DL Concepts

机译:测量OWL DL概念之间语义相似度的模糊对比模型

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摘要

On the basis of psychological studies about similarity, we propose a model, called the fuzzy contrast model, to measure the semantic similarity between concepts expressed by OWL DL. By transforming an OWL DL concept to a set of axioms in description logic SHOIN(D), the fuzzy contrast model computes the similarity of concepts from their semantic descriptions in SHOIN(D). In order to imitate human perception of sameness and difference, fuzzy set is introduced to built intersection and set difference of feature set in our model. An iterative method is proposed to compute the similarity of concepts. Two experimental results are provided to show the effectiveness of fuzzy contrast model.
机译:在关于相似性的心理学研究的基础上,我们提出了一个称为模糊对比模型的模型,用于测量OWL DL表达的概念之间的语义相似性。通过将OWL DL概念转换为描述逻辑SHOIN(D)中的一组公理,模糊对比模型根据SHOIN(D)中的语义描述计算概念的相似性。为了模仿人类对同一性和差异性的感知,在模型中引入了模糊集来建立特征集的交集和集差。提出了一种迭代的方法来计算概念的相似度。提供了两个实验结果,以证明模糊对比模型的有效性。

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