Reviewing scientific literature is a cumbersome, time consuming but crucial activity in research. Leveraging a scholarly knowledge graph, we present a methodology and a system for comparing scholarly literature, in particular research contributions describing the addressed problem, utilized materials, employed methods and yielded results. The system can be used by researchers to quickly get familiar with existing work in a specific research domain (e.g., a concrete research question or hypothesis). Additionally, it can be used to publish literature surveys following the FAIR Data Principles. The methodology to create a research contribution comparison consists of multiple tasks, specifically: (a) finding similar contributions, (b) aligning contribution descriptions, (c) visualizing and finally (d) publishing the comparison. The methodology is implemented within the Open Research Knowledge Graph (ORKG), a scholarly infrastructure that enables researchers to collaboratively describe, find and compare research contributions. We evaluate the implementation using data extracted from published review articles. The evaluation also addresses the FAIRness of comparisons published with the ORKG.

中文翻译：

---

使用学术知识图生成 FAIR 文献调查

审查科学文献是一项繁琐、耗时但在研究中至关重要的活动。利用学术知识图谱，我们提出了一种比较学术文献的方法和系统，特别是描述所解决问题的研究贡献、使用的材料、采用的方法和产生的结果。研究人员可以使用该系统来快速熟悉特定研究领域（例如，具体的研究问题或假设）中的现有工作。此外，它还可用于根据 FAIR 数据原则发布文献调查。创建研究贡献比较的方法包括多项任务，具体而言：(a) 找到相似的贡献，(b) 对齐贡献描述，(c) 可视化，最后 (d) 发布比较。该方法在开放研究知识图谱 (ORKG) 中实施，这是一种学术基础设施，使研究人员能够协作描述、查找和比较研究贡献。我们使用从已发表评论文章中提取的数据来评估实施。评估还涉及与 ORKG 发布的比较的公平性。