دورية أكاديمية
Defect knowledge graph construction and application in multi-cloud IoT
| العنوان: | Defect knowledge graph construction and application in multi-cloud IoT |
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| المؤلفون: | Wenqing Yang, Xiaochao Li, Peng Wang, Jun Hou, Qianmu Li, Nan Zhang |
| المصدر: | Journal of Cloud Computing: Advances, Systems and Applications, Vol 11, Iss 1, Pp 1-12 (2022) |
| بيانات النشر: | SpringerOpen, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Computer engineering. Computer hardware LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Multi-cloud IoT, Defect knowledge graph, Ontology design, Knowledge graph reasoning, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | Abstract As the State Grid Multi-cloud IoT platform grows and improves, an increasing number of IoT applications generate massive amounts of data every day. To meet the demands of intelligent management of State Grid equipment, we proposed a scheme for constructing the defect knowledge graph of power equipment based on multi-cloud. The scheme is based on the State Grid Multi-cloud IoT architecture and adheres to the design specifications of the State Grid SG-EA technical architecture. This scheme employs ontology design based on a fusion algorithm and proposes a knowledge graph reasoning method named GRULR based on logic rules to achieve a consistent and shareable model. The model can be deployed on multiple clouds independently, increasing the system’s flexibility, robustness, and security. The GRULR method is designed with two independent components, Reasoning Evaluator and Rule Miner, that can be deployed in different clouds to adapt to the State Grid Multi-cloud IoT architecture. By sharing high-quality rules across multiple clouds, this method can avoid vendor locking and perform iterative updates. Finally, the experiment demonstrates that the GRULR method performs well in large-scale knowledge graphs and can complete the reasoning task of the defect knowledge graph efficiently. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2192-113X |
| Relation: | https://doaj.org/toc/2192-113X |
| DOI: | 10.1186/s13677-022-00334-1 |
| URL الوصول: | https://doaj.org/article/a9f31d87e9494186b4db0739e27028b9 |
| رقم الأكسشن: | edsdoj.9f31d87e9494186b4db0739e27028b9 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2192113X |
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| DOI: | 10.1186/s13677-022-00334-1 |