IEEE 2807.4-2024

This guide for scientific knowledge graphs (SKG) specifies the following: -- Data scope, including actors such as authors or organizations; documents such as journal or conference publications; and research knowledge such as research topics or technologies. -- SKG construction process, including knowledge acquisition, knowledge fusion, knowledge representation, or knowledge inference of scientific knowledge. -- Applications, including academic service, intelligence mining, or scholar analysis.

The purpose of this guide is to assist developers of knowledge graphs in the fields of scientific knowledge to follow a general guideline of data scope, SKG construction process, and applications. With this guide, SKG can be constructed and integrated more efficiently, providing a more complete and accurate knowledge service ecosystem for the scientific industry. This guide enables suppliers to provide compatible knowledge graphs and technologies under a unified knowledge model and interface specification. This guide refers to W3C standards such as Web Ontology Language (OWL) and Resource Description Framework (RDF), providing a broad industry reference set of tools.

New IEEE Standard - Active. A framework of scientific knowledge graphs is proposed in this guide. This guide divides the stakeholders of scientific knowledge graphs into scientific data suppliers, scientific knowledge graph technology suppliers, scientific knowledge graph integrators, scientific knowledge graph users, and scientific knowledge graph ecological partners. The main activities of data governance, construction, integration, application, and ecological development of the stakeholders are described in detail.