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Operational Research Literature as a Use Case for the Open Research Knowledge Graph
arXiv - CS - Digital Libraries Pub Date : 2020-06-23 , DOI: arxiv-2006.13733
Mila Runnwerth, Markus Stocker, S\"oren Auer

The Open Research Knowledge Graph (ORKG) provides machine-actionable access to scholarly literature that habitually is written in prose. Following the FAIR principles, the ORKG makes traditional, human-coded knowledge findable, accessible, interoperable, and reusable in a structured manner in accordance with the Linked Open Data paradigm. At the moment, in ORKG papers are described manually, but in the long run the semantic depth of the literature at scale needs automation. Operational Research is a suitable test case for this vision because the mathematical field and, hence, its publication habits are highly structured: A mundane problem is formulated as a mathematical model, solved or approximated numerically, and evaluated systematically. We study the existing literature with respect to the Assembly Line Balancing Problem and derive a semantic description in accordance with the ORKG. Eventually, selected papers are ingested to test the semantic description and refine it further.

中文翻译:

运筹学文献作为开放研究知识图谱的用例

开放研究知识图谱 (ORKG) 提供了机器可操作的访问习惯于散文的学术文献。遵循 FAIR 原则,ORKG 根据链接开放数据范式以结构化的方式使传统的人工编码知识可查找、可访问、可互操作和可重用。目前,ORKG 中的论文是手动描述的,但从长远来看,大规模文献的语义深度需要自动化。运筹学是这一愿景的合适测试案例,因为数学领域及其出版习惯是高度结构化的:一个平凡的问题被表述为一个数学模型,以数字方式解决或近似,并系统地评估。我们研究了关于装配线平衡问题的现有文献,并根据 ORKG 得出语义描述。最终,选取的论文被收录以测试语义描述并进一步完善它。
更新日期:2020-06-25
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