IEEE 3154-2024

This recommended practice defines the architectural framework and operational guidelines for the application of knowledge graphs in the field of talent services, including a) a detailed description of the methodology and workflow for constructing knowledge graphs in the talent services setting, b) explicit definitions of the technical procedures for each segment of the construction process, and c) an introduction of the varied application scenarios of knowledge graphs within the talent services context.

This recommended practice aims to enhance the efficiency and consistency with which developers in the field of talent services construct knowledge graphs. Furthermore, this recommended practice provides a generalized implementation strategy for institutions and enterprises to utilize knowledge graphs across a range of application scenarios, including but not limited to talent recruitment and talent development.

New IEEE Standard - Active. Talent is critically important for the success of companies, so a large number of talent services have developed over time. Institutions and enterprises are now implementing knowledge graph technology as part of Artificial Intelligence systems to provide more accurate and interpretable intelligent talent services. This recommended practice assists developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, it provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and development.