A Knowledge Graph for Industry 4.0
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-49461-2_27
Reference16 articles.
1. Andreev, S., Galinina, O., Pyattaev, A., Gerasimenko, M., Tirronen, T., Torsner, J., et al.: Understanding the IoT connectivity landscape: a contemporary M2M radio technology roadmap. IEEE Commun. Mag. 53(9), 32–40 (2015)
2. Bader, S.R., Grangel-González, I., Tasnim, M., Lohmann, S.: Structuring the industry 4.0 landscape. In: International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 224–231. IEEE (2019)
3. Bader, S.R., Maleshkova, M., Lohmann, S.: Structuring reference architectures for the industrial internet of things. Future Internet 11(7), 151 (2019)
4. Bassi, A., et al.: Enabling Things to Talk: Designing IoT Solutions with the IoT Architectural Reference Model. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40403-0
5. Färber, M., Bartscherer, F., Menne, C., Rettinger, A.: Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO. Seman. Web 9(1), 77–129 (2018)
Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Performance-driven closed-loop optimization and control for smart manufacturing processes in the cloud-edge-device collaborative architecture: A review and new perspectives;Computers in Industry;2024-11
2. KARMEN: Redefining collaboration and expertise sharing through an innovative knowledge graph framework: a case study in additive manufacturing;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-08-10
3. Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling;Computers in Industry;2024-08
4. Beyond Benchmarks: Assessing Knowledge Graph Completion Methods on Non-Benchmark Employee Data;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10
5. A knowledge graph-aided decision guidance method for product conceptual design;Journal of Engineering Design;2024-07-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3