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Improving Hierarchical Taxonomy Integration with Semantic Feature Expansion on Category-SpecificTerms

机译:通过类别特定术语的语义特征扩展改善层次分类法集成

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In recent years, the taxonomy integration problem has obtained much attention in many research studies. Many sorts of implicit information embedded in the source taxonomy are explored to improve the integration performance. However, the semantic information embedded in the source taxonomy has not been discussed in the past research. In this paper, an enhanced integration approach called SFE (Semantic Feature Expansion) is proposed to exploit the semantic information of the category-specific terms. From our experiments on two hierarchical Web taxonomies, the results are positive to show that the integration performance can be further improved with the SFE scheme.
机译:近年来,分类学整合问题已在许多研究中引起了广泛关注。对源分类法中嵌入的多种隐式信息进行了研究,以提高集成性能。然而,在过去的研究中还没有讨论嵌入在源分类法中的语义信息。本文提出了一种称为SFE(语义特征扩展)的增强集成方法,以利用类别特定术语的语义信息。通过我们对两种分层Web分类法的实验,结果是肯定的,表明使用SFE方案可以进一步提高集成性能。

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