IEEE P2807.4

This guideline for Scientific Knowledge Graphs (SKG) specifies: 1) Data scope, including the actors such as authors or organizations, the documents such as journal or conference publications, and the research knowledge such as research topics or technologies; 2) SKG construction process, including knowledge acquisition, knowledge fusion, knowledge representation, or knowledge inference of scientific knowledge; 3) 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 - Draft. A framework of scientific knowledge graphs is proposed in this guide. This guide divides the stakeholders of scientific knowledge graph into scientific data supplier, scientific knowledge graph technology supplier, scientific knowledge graph integrator, scientific knowledge graph user and scientific knowledge graph ecological partner. The main activities of data governance, construction, integration, application and ecological development of the stakeholders are described in detail.