论文标题

使用学术知识图生成公平的文献调查

Generate FAIR Literature Surveys with Scholarly Knowledge Graphs

论文作者

Oelen, A., Jaradeh, M. Y., Stocker, M., Auer, S.

论文摘要

回顾科学文献是一项繁琐的,耗时但至关重要的活动。利用学术知识图,我们提出了一种方法和一种用于比较学术文献的方法和系统,特别是描述了解决问题的研究贡献,利用材料,使用的方法并产生了结果。研究人员可以使用该系统来快速熟悉特定研究领域的现有工作(例如,具体的研究问题或假设)。此外,它可用于按照公平数据原则发布文献调查。创建研究贡献比较的方法由多个任务组成,特别是:(a)找到类似的贡献,(b)对齐贡献描述,(c)可视化,最后(d)发布比较。该方法是在开放研究知识图(ORKG)中实施的,这是一种学术基础架构,使研究人员能够协作描述,查找和比较研究贡献。我们使用从已发表的评论文章中提取的数据评估实施。该评估还解决了与ORKG发布的比较的公平性。

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.

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