TAKCO: A Platform for Extracting Novel Facts from Tables

B. Kruit, P. Boncz, J. Urbani
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引用次数: 2

Abstract

Web tables contain a large amount of useful knowledge. Takco is a new large-scale platform designed for extracting facts from tables that can be added to Knowledge Graphs (KGs) like Wikidata. Focusing on achieving high precision, current techniques are biased towards extracting redundant facts, i.e., facts already in the KG. Takco aims to find more novel facts, still at high precision. Our demonstration has two goals. The first one is to illustrate the main features of Takco’s novel interpretation algorithm. The second goal is to show to what extent other state-of-the-art systems are biased towards the extraction of redundant facts using our platform, thus raising awareness on this important problem.
TAKCO:从表格中提取新事实的平台
Web表包含了大量有用的知识。Takco是一个新的大型平台,用于从表中提取事实,这些事实可以添加到知识图(KGs)中,如维基数据。专注于实现高精度,目前的技术倾向于提取冗余的事实,即已经在KG中的事实。Takco的目标是找到更多新颖的事实,仍然是高精度的。我们的演示有两个目标。第一部分是说明Takco的新解释算法的主要特点。第二个目标是展示其他最先进的系统在多大程度上倾向于使用我们的平台提取冗余事实,从而提高对这一重要问题的认识。
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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