Our world is shaped by events of various complexity. This includes both
small-scale local events like local farmer markets and large complex events
like political and military conflicts. The latter are typically not observed
directly but through the lenses of intermediaries like newspapers or social
media. In other words, we do not witness the unfolding of such events directly
but are confronted with narratives surrounding them. Such narratives capture
different aspects of a complex event and may also differ with respect to the
narrator. Thus, they provide a rich semantics concerning real-world events. In
this paper, we show how narratives concerning complex events can be constructed
and utilized. We provide a formal representation of narratives based on
recursive nodes to represent multiple levels of detail and discuss how
narratives can be bound to event-centric knowledge graphs. Additionally, we
provide an algorithm based on incremental prompting techniques that mines such
narratives from texts to account for different perspectives on complex events.
Finally, we show the effectiveness and future research directions in a proof of
concept.

复杂事件的故事、事件中心的知识图谱、增量提示技术、概念验证的有效性和未来研究方向。

迷失于递归中：在知识图谱中挖掘丰富的事件语义

Lost in Recursion: Mining Rich Event Semantics in Knowledge Graphs

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.

本文提出了一种新颖而轻量级的事件中心知识图谱结构，允许查询包括视角依赖和叙事方面，并证明了主观归属的有效结合，展示了为叙事查询处理专门定制的索引的好处。