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IEEE Guide for Electric-Power-Oriented Knowledge Graph
IEEE Std 2807.3-2022
| contributor author | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
| date accessioned | 2023-08-07T18:46:52Z | |
| date available | 2023-08-07T18:46:52Z | |
| date copyright | 09 January 2022 | |
| date issued | 2022 | |
| identifier other | 10012535.pdf | |
| identifier uri | http://yse.yabesh.ir/std;query=authoF23793FDFCDCAC426159DD6EFDEC014A/handle/yse/329656 | |
| description abstract | Guidelines for knowledge graphs (KGs) in electric power fields are provided in this guide. Data and schema requirements, an electric power-oriented KG construction process, KG integration, performance evaluation, and application scenarios are also discussed. Institutions and enterprises that develop KGs in the electric power field follow the general implementation method outlined here. In addition, suppliers may be supported in providing compatible KGs under the unified power knowledge model and interface specifications. With this guide, electric power KGs can be simply and efficiently combined and integrated, forming a more complete and accurate knowledge service ecosystem in the power industry. | |
| language | English | |
| title | IEEE Guide for Electric-Power-Oriented Knowledge Graph | en |
| title | IEEE Std 2807.3-2022 | num |
| type | Standard | |
| page | 142 | |
| tree | IEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2022 | |
| contenttype | Fulltext | |
| subject keywords | electric power | |
| subject keywords | EPKG ODM | |
| subject keywords | knowledge graph | |
| subject keywords | EPKG | |
| subject keywords | knowledge graph application | |
| subject keywords | IEEE 2807.3™ | |
| identifier DOI | 10.1109/IEEESTD.2022.10012535 |
