Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get a full overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work. Recently, several initiatives have proposed knowledge graphs (KG) for organising scientific information as a solution to many of the current issues. The focus of these proposals is, however, usually restricted to very specific use cases. In this paper, we aim to transcend this limited perspective and present a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting and reviewing daily core tasks of a scientist, (b) establishing their consequential requirements for a KG-based system, (c) identifying overlaps and specificities, and their coverage in current solutions. As a result, we map necessary and desirable requirements for successful KG-based science communication, derive implications, and outline possible solutions.

当前的科学传播有许多缺点和瓶颈，最近成为讨论的主题：其中，发表文章数量的增加几乎不可能全面了解某个领域的最新技术，或者可重复性是受到固定长度、基于文件的出版物的阻碍，这些出版物通常无法涵盖研究工作的所有细节。最近，一些倡议提出了用于组织科学信息的知识图谱 (KG)，作为许多当前问题的解决方案。然而，这些提议的重点通常仅限于非常具体的用例。在本文中，我们的目标是超越这种有限的视角，通过 (a) 收集和审查科学家的日常核心任务，(b) 建立他们对基于 KG 的系统的相应要求，对开放研究知识图谱 (ORKG) 的要求进行全面分析, (c) 确定重叠和特殊性，以及它们在当前解决方案中的覆盖范围。因此，我们为成功的基于 KG 的科学传播绘制了必要和理想的要求，得出了影响，并概述了可能的解决方案。