利用阿拉伯语维基百科自动生成本体:一种建议的方法

N. Al-Rajebah, Hend Suliman Al-Khalifa, A. Al-Salman
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引用次数: 15

摘要

本体模型在语义网中起着重要的作用。尽管被广泛传播,但仍有一些已知的尝试为阿拉伯语构建本体。因此,遇到了缺乏阿拉伯语语义Web应用程序的问题。在本文中,我们提出了一种为维基百科中的阿拉伯语自动构建本体的方法。我们的方法依赖于语义场理论,这样任何维基百科文章都可以通过分析其信息框和类别列表来提取语义关系。我们还将展示我们的系统体系结构以及评估结果本体模型的有效性和正确性的初步评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploiting Arabic Wikipedia for automatic ontology generation: A proposed approach
Ontological models play an important role in the Semantic Web. Despite being widely spread, there are a few known attempts to build ontologies for the Arabic language. As a result, a lack of Arabic Semantic Web applications is encountered. In this paper, we propose an approach to build ontologies automatically for the Arabic language from Wikipedia. Our approach relies on the semantic field theory such that any Wikipedian article is analyzed to extract semantic relations using its infobox and the list of categories. We will also present our system architecture along with an initial evaluation to evaluate the effectiveness and correctness of the resultant ontological model.
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