论文标题
制造和生产中的知识图：系统文献综述
Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review
论文作者
论文摘要
制造和生产中的知识图旨在使生产线更有效，更灵活，并具有更高的质量产量。这使知识图对公司达到行业4.0目标有吸引力。但是，该领域的现有研究是相当初步的，并且在分析如何将知识图应用于制造和生产领域的更多研究工作。因此，我们进行了系统的文献综述，以试图通过识别退出的研究并确定进一步研究的差距和机会来表征该领域的最新技术。为此，我们专注于在现有文献中找到主要研究，这些研究是根据四个标准对这些研究进行了分类和分析的：文献计量学关键事实，研究类型的方面，知识图特征和应用程序场景。此外，还对基本研究进行了评估，以在方法论，经验证据和相关性方面获得更深入的见解。结果，我们可以提供域的完整图片，其中包括有趣的方面，例如知识融合目前是知识图的主要用例，即经验研究和工业应用在很大程度上仍然缺失，该图嵌入并未完全利用，并且技术文献已经快速增长，但似乎仍然远离其峰值。
Knowledge graphs in manufacturing and production aim to make production lines more efficient and flexible with higher quality output. This makes knowledge graphs attractive for companies to reach Industry 4.0 goals. However, existing research in the field is quite preliminary, and more research effort on analyzing how knowledge graphs can be applied in the field of manufacturing and production is needed. Therefore, we have conducted a systematic literature review as an attempt to characterize the state-of-the-art in this field, i.e., by identifying exiting research and by identifying gaps and opportunities for further research. To do that, we have focused on finding the primary studies in the existing literature, which were classified and analyzed according to four criteria: bibliometric key facts, research type facets, knowledge graph characteristics, and application scenarios. Besides, an evaluation of the primary studies has also been carried out to gain deeper insights in terms of methodology, empirical evidence, and relevance. As a result, we can offer a complete picture of the domain, which includes such interesting aspects as the fact that knowledge fusion is currently the main use case for knowledge graphs, that empirical research and industrial application are still missing to a large extent, that graph embeddings are not fully exploited, and that technical literature is fast-growing but seems to be still far from its peak.
