论文标题
开放研究知识图的运营研究文献作为用例
Operational Research Literature as a Use Case for the Open Research Knowledge Graph
论文作者
论文摘要
开放研究知识图（ORKG）提供了对学术文献的可访问习惯写成的散文文献的访问。遵循公平的原则，ORKG可以根据链接的开放数据范式以结构化的方式找到传统的人文编码知识，可访问，可互操作和可重复使用。目前，在ORKG论文中进行了手动描述，但从长远来看，文献的语义深度需要自动化。操作研究是该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：平凡的问题被称为数学模型，已解决或近似数值，并系统地进行了评估。我们研究了有关组装线平衡问题的现有文献，并根据ORKG得出语义描述。最终，精选的论文被摄入以测试语义描述并进一步完善。
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.
