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A Class Validation Proposal of a Pedagogic Domain Ontology based on Clustering Analysis

机译:基于聚类分析的教学领域本体的类验证建议

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The knowledge bases of the Web are fundamentally organized in ontologies in order to answer queries based on semantics. The ontologies learning process comprises three fundamental steps: creation of classes and relationships, population and evaluation. In this paper the focus includes the classes creation, by introducing a class validation proposal using clustering analysis. As case of study was selected a pedagogical domain, where a corpus was semi-automatically built, from articles written in Spanish published in Social Sciences. Moreover, a dictionary containing classes, concepts and synonyms was included in the experiments. Clustering analysis allowed to verify the concepts that the experts considered as the most important for the domain. For the case of study selected, the cluster analysis step reports clusters with the same instances that the clusters defined by the experts.
机译:Web的知识库从根本上组织为本体,以便根据语义回答查询。本体学习过程包括三个基本步骤:创建类和关系,人口和评估。在本文中,重点包括通过使用聚类分析引入类验证建议来创建类。作为研究案例,从《社会科学》上用西班牙语撰写的文章中选择了一个教学领域,即半自动建立语料库。此外,实验中还包含一个包含类,概念和同义词的字典。聚类分析可以验证专家认为对该领域最重要的概念。对于选定的研究案例,聚类分析步骤报告的聚类与专家定义的聚类具有相同的实例。

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