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Finding Similarity Relations in Presence of Taxonomic Relations in Ontology Learning Systems

机译:在本体学习系统中的分类关系存在下寻找相似关系

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Ontology learning tries to find ontological relations, by an automatic process. Similarity relationships are one of non-taxonomic relations which may be included in ontology. Our idea is that in presence of taxonomic relations we are able to extract more useful non-taxonomic similarity relations. In this paper we investigate the specifications of an implemented system for extracting these relations by means of new context extraction method which uses taxonomic relations
机译:本体学习试图通过自动过程来找到本体关系。相似关系是可以包含在本体中的非分类关系之一。我们的想法是,在存在分类学关系的情况下,我们能够提取出更多有用的非分类学相似性关系。在本文中,我们研究了使用分类学关系的新上下文提取方法来提取这些关系的已实现系统的规范。

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