为事件型知识图谱中的多视角信息建模，解决争议事件的立场矛盾问题。
A Conceptual Model for Attributions in Event-Centric Knowledge Graphs
- 引入可参数化的归属谓词，表示特定观点下的事实
- 提出观点兼容性机制，缓解多视角带来的不一致
- 适合关注争议事件推理与多源信息融合的研究者
将叙事作为整合知识图谱（KG）信息以形成连贯论点的方法，近年来受到关注。在事件型知识图谱中，叙事有助于连接现实事件并按已知叙事分类。然而，对于争议性事件，不同观点对事件某些方面（如参与者角色）的有效性存在分歧，将这些观点融入KG面临挑战：不同视角提供的争议信息可能引发不一致。因此，多数KG仅保留单一视角，削弱了叙事信息的可用性。本文扩展此前工作，引入‘归属’（attributions）——即参数化谓词，用于表示仅在特定观点下成立的事实。我们构建了一个概念模型，支持观点依赖信息的表达，并进一步引入观点兼容性概念。基于此，深化了对模型在信息融合中影响的讨论，并加强了理论基础。
原文摘要 · Abstract (English)
The use of narratives as a means of fusing information from knowledge graphs (KGs) into a coherent line of argumentation has been the subject of recent investigation. Narratives are especially useful in event-centric knowledge graphs in that they provide a means to connect different real-world events and categorize them by well-known narrations. However, specifically for controversial events, a problem in information fusion arises, namely, multiple viewpoints regarding the validity of certain event aspects, e.g., regarding the role a participant takes in an event, may exist. Expressing those viewpoints in KGs is challenging because disputed information provided by different viewpoints may introduce inconsistencies. Hence, most KGs only feature a single view on the contained information, hampering the effectiveness of narrative information access. This paper is an extension of our original work and introduces attributions, i.e., parameterized predicates that allow for the representation of facts that are only valid in a specific viewpoint. For this, we develop a conceptual model that allows for the representation of viewpoint-dependent information. As an extension, we enhance the model by a conception of viewpoint-compatibility. Based on this, we deepen our original deliberations on the model's effects on information fusion and provide additional grounding in the literature.
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