A Declarative Approach to Data-Driven Fact Checking
A Declarative Approach to Data-Driven Fact Checking
复制标题
数据驱动事实检查的声明性方法
DOI：
10.1609/aaai.v31i1.10492
复制
发表时间：
2017
影响因子：
2.4
通讯作者：
J. Leblay
中科院分区：
文献类型：
--
作者：
J. Leblay
事实核查是任何调查工作的重要组成部分。由于语言、心理和社会原因，这是一项人类固有的任务。然而，现代媒体使专家越来越难以跟上信息产生的速度。因此，我们认为，在这一进程中协助他们的工具具有价值。Web数据研究的大部分工作都集中在处理不完整性和不确定性上。相比之下，处理上下文得到的关注较少，尽管它在判断索赔的有效性方面至关重要。例如，在美国一个州成立的，在其邻国可能不成立，例如，因为法律已经过时或被取代。在这项工作中，我们解决了在多种情况下检查索赔的有效性的问题。我们定义了一种语言来表示和查询跨不同维度的事实。该方法是非侵入性的，并允许相对容易的建模，同时捕捉不完整性和不确定性。我们描述了语言的语法和语义。我们提出的算法来证明其可行性，我们通过例子说明其实用性。
Fact checking is an essential part of any investigative work. For linguistic, psychological and social reasons, it is an inherently human task. Yet, modern media make it increasingly difficult for experts to keep up with the pace at which information is produced. Hence, we believe there is value in tools to assist them in this process. Much of the effort on Web data research has been focused on coping with incompleteness and uncertainty. Comparatively, dealing with context has received less attention, although it is crucial in judging the validity of a claim. For instance, what holds true in a US state, might not in its neighbors, e.g., due to obsolete or superseded laws. In this work, we address the problem of checking the validity of claims in multiple contexts. We define a language to represent and query facts across different dimensions. The approach is non-intrusive and allows relatively easy modeling, while capturing incompleteness and uncertainty. We describe the syntax and semantics of the language. We present algorithms to demonstrate its feasibility, and we illustrate its usefulness through examples.
影响因子：
14.4
作者：
Hoffart, Johannes;Suchanek, Fabian M.;Weikum, Gerhard
通讯作者：
Weikum, Gerhard