WiSeNet: building a wikipedia-based semantic network with ontologized relations

A. Moro, Roberto Navigli
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引用次数: 36

Abstract

In this paper we present an approach for building a Wikipedia-based semantic network by integrating Open Information Extraction with Knowledge Acquisition techniques. Our algorithm extracts relation instances from Wikipedia page bodies and ontologizes them by, first, creating sets of synonymous relational phrases, called relation synsets, second, assigning semantic classes to the arguments of these relation synsets and, third, disambiguating the initial relation instances with relation synsets. As a result we obtain WiSeNet, a Wikipedia-based Semantic Network with Wikipedia pages as concepts and labeled, ontologized relations between them.
WiSeNet:建立一个基于维基百科的语义网络,具有本体关系
本文提出了一种结合开放信息抽取和知识获取技术构建基于维基百科的语义网络的方法。我们的算法从维基百科页面主体中提取关系实例,并通过以下方式对它们进行本体论化:首先,创建一组同义关系短语,称为关系同义词集;其次,为这些关系同义词集的参数分配语义类;第三,用关系同义词集消除初始关系实例的歧义。因此,我们得到了WiSeNet,一个基于维基百科的语义网络,将维基百科页面作为概念,并标记它们之间的本体论关系。
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