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IEEE 2807-2022 PDF

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IEEE Standard for Framework of Knowledge Graphs

IEEE , 01/09/2023

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IEEE 2807-2022 PDF

This standard defines the framework of knowledge graphs (KGs). The framework describes the input requirement of KG; construction process of KG, that is, extraction, storage, fusion, and understanding; performance metrics; applications of KG; verticals; KG-related artificial intelligence (AI) technologies; and other required digital infrastructure.
The purpose of this standard is to define the framework of KGs. This framework will help enterprises, especially small- and medium-sized enterprises and start-ups, which develop KG applications to follow a general KG construction method. In addition, the proposed framework will help digital infrastructure suppliers, such as cloud developers and IT security engineers, to understand the KG diagrams and provide more efficient tools to support KG. Vertical applications may extract more types of knowledge and generate more applications after applying the standardized framework.
New IEEE Standard – Active. 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.

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