IEEE P3154 PDF
This recommended practice defines the architectural framework and application practices for knowledge graphs in the field of talent services, including a) description of the construction process and workflow for knowledge graphs for talent services, b) definition of the technical procedure for each part of the construction process, c) introduction of the application scenarios of knowledge graphs for talent services.
The purpose of this recommended practice is to assist developers in constructing knowledge graphs in the field of talent services more efficiently and consistently. In addition, this recommended practice provides a general implementation method for institutions and enterprises to use knowledge graphs in different application scenarios, such as talent recruitment and talent development.
New IEEE Standard – Active – Draft. 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.
Related products
