论文标题
开放研究知识图的需求分析
Requirements Analysis for an Open Research Knowledge Graph
论文作者
论文摘要
当前的科学沟通最近有许多缺点和瓶颈，这些缺点和瓶颈最近是讨论的主题：除其他外，发表的文章数量增加，几乎不可能在某个领域概述概述某个领域的最新技术，否则可重复性受到固定长度，基于文档的出版物的阻碍，这些出版物通常无法涵盖所有研究工作的详细信息。最近，一些计划提出了知识图（KGS），以组织科学信息，以解决许多当前问题。但是，这些建议的重点通常仅限于非常具体的用例。在本文中，我们旨在通过（a）收集科学家的每日核心任务对开放研究知识图（ORKG）的需求进行全面分析，（b）确定基于KG的系统的后果要求，（c）确定重叠和特殊性及其在当前解决方案中的覆盖范围，通过（a）收集其对基于KG的系统的结果要求，及其在当前解决方案中的覆盖范围来超越这种有限的观点。结果，我们绘制了成功的基于KG的科学沟通的必要和理想的要求，得出含义并概述了可能的解决方案。
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 an 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 (KGs) 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 by presenting a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting 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.
