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IEEE Standard for Framework of Knowledge Graphs
IEEE Std 2807-2022
Year: 2023
Abstract: A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model, construction and integration process of knowledge graphs, main activities in the processes, and stakeholders of knowledge graphs are described in detail. This standard can be applied in various organizations that plan, design, develop, implement, and apply knowledge and in organizations that develop support technologies, tools, and services to knowledge graphs.
Subject: stakeholder
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IEEE Standard for Framework of Knowledge Graphs
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| contributor author | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
| date accessioned | 2023-08-07T18:47:05Z | |
| date available | 2023-08-07T18:47:05Z | |
| date copyright | 09 January 2023 | |
| date issued | 2023 | |
| identifier other | 10017167.pdf | |
| identifier uri | http://yse.yabesh.ir/std;query=autho47037D83FCDCAC4261598F1EFDEC014A/handle/yse/329689 | |
| description abstract | A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model, construction and integration process of knowledge graphs, main activities in the processes, and stakeholders of knowledge graphs are described in detail. This standard can be applied in various organizations that plan, design, develop, implement, and apply knowledge and in organizations that develop support technologies, tools, and services to knowledge graphs. | |
| language | English | |
| title | IEEE Standard for Framework of Knowledge Graphs | en |
| title | IEEE Std 2807-2022 | num |
| type | Standard | |
| page | 52 | |
| tree | IEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2023 | |
| contenttype | Fulltext | |
| subject keywords | stakeholder | |
| subject keywords | IEEE 2807 | |
| subject keywords | knowledge graph integration | |
| subject keywords | knowledge graph application | |
| subject keywords | knowledge graph | |
| subject keywords | knowledge graph construction | |
| identifier DOI | 10.1109/IEEESTD.2022.10017167 |