基于特定类别术语语义特征扩展的分层分类法集成

Cheng-Zen Yang, Ing-Xiang Chen, Cheng-Tse Hung, Ping-Jung Wu
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引用次数: 1

摘要

近年来,层次分类法的集成问题在许多研究中得到了相当大的关注。为了提高集成性能,研究了在源分类法中嵌入多种类型的隐式信息。然而,在以往的研究中,对源分类中嵌入的语义信息并没有进行讨论。本文提出了一种增强的集成方法——语义特征扩展(Semantic Feature Expansion, SFE),用于挖掘特定类别术语的语义信息。在两种层次Web分类法上的实验结果表明,SFE方案可以进一步提高集成性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical Taxonomy Integration Using Semantic Feature Expansion on Category-Specific Terms
In recent years, the hierarchical taxonomy integration problem has obtained considerable attention in many research studies. Many types of implicit information embedded in the source taxonomy are explored to improve the integration performance. The semantic information embedded in the source taxonomy, however, has not been discussed in previous 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 show that the integration performance can be further improved with the SFE scheme.
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