Our lives are ruled by events of varying importance ranging from simple everyday occurrences to incidents of societal dimension. And a lot of effort is taken to exchange information and discuss about such events: generally speaking, stringent narratives are formed to reduce complexity. But when considering complex events like the current conflict between Russia and Ukraine it is easy to see that those events cannot be grasped by objective facts alone, like the start of the conflict or respective troop sizes. There are different viewpoints and assessments to consider, a different understanding of the roles taken by individual participants, etc. So how can such subjective and viewpoint-dependent information be effectively represented together with all objective information? Recently event-centric knowledge graphs have been proposed for objective event representation in the otherwise primarily entity-centric domain of knowledge graphs. In this paper we introduce a novel and lightweight structure for event-centric knowledge graphs, which for the first time allows for queries incorporating viewpoint-dependent and narrative aspects. Our experiments prove the effective incorporation of subjective attributions for event participants and show the benefits of specifically tailored indexes for narrative query processing.
翻译:我们的生活被不同重要事件所支配,从简单的日常事件到社会层面的事件。我们付出了很大努力来交流信息和讨论这类事件:一般说来,形成严格的叙述来减少复杂性。但是,在考虑俄罗斯和乌克兰之间当前冲突等复杂事件时,很容易看到这些事件无法单靠客观事实来掌握,例如冲突的开始或各自的部队规模。有不同的观点和评估需要考虑,对个别参与者的角色有不同的理解,等等。因此,如何有效地将这种主观和以观点为依归的信息与所有客观信息结合起来?最近以事件为中心的知识图表是为客观事件在以实体为中心的知识图表领域进行表述而提出的。在本文中,我们为以事件为中心的知识图表引入了一种新颖和轻量度的结构,首次可以查询其中含有以观点为依存和叙述的方面。我们的实验证明对事件参与者的主观归属的有效结合,并展示了为叙述性查询处理而专门设计的指数的好处。