Automatically Generating Wikipedia Info-boxes from Wikidata

Tomás Sáez, A. Hogan
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引用次数: 17

Abstract

Info-boxes provide a summary of the most important meta-data relating to a particular entity described by a Wikipedia article. However, many articles have no info-box or have info-boxes with only minimal information; furthermore, there is a huge disparity between the level of detail available for info-boxes in English articles and those for other languages. Wikidata has been proposed as a central repository of facts to try to address such disparities, and has been used as a source of information to generate info-boxes. However, current processes still rely on human intervention either to create generic templates for entities of a given type or to create a specific info-box for a specific article in a specific language. As such, there are still many articles of Wikipedia without info-boxes but where relevant data are provided by Wikidata. In this paper, we investigate fully automatic methods to generate info-boxes for Wikipedia from the Wikidata knowledge graph. The primary challenge is to create ranking mechanisms that provide an intuitive prioritisation of the facts associated with an entity. We discuss this challenge, propose several straightforward metrics to prioritise information in info-boxes, and present an initial user evaluation to compare the quality of info-boxes generated by various metrics.
从维基数据自动生成维基百科信息框
信息框提供了与Wikipedia文章所描述的特定实体相关的最重要元数据的摘要。然而,许多文章没有信息框,或者只有很少的信息框;此外,英语文章和其他语言文章中信息框的详细程度存在巨大差异。维基数据已被提议作为事实的中心存储库,以试图解决这种差异,并已被用作生成信息框的信息来源。然而,当前的流程仍然依赖于人为干预,要么为给定类型的实体创建通用模板,要么为特定语言的特定文章创建特定信息框。因此,维基百科仍有许多文章没有信息框,但相关数据由维基数据提供。在本文中,我们研究了基于维基数据知识图谱的自动生成维基百科信息框的方法。主要的挑战是创建排序机制,提供与实体相关的事实的直观优先级。我们讨论了这一挑战,提出了几个简单的指标来对信息框中的信息进行优先级排序,并给出了一个初始用户评估,以比较由各种指标生成的信息框的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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