IEEE P2807.13

New IEEE Standard - Active - Draft.
A general integration framework among large-scale pre-trained models and knowledge graphs; a structure and construction process for knowledge graphs, which is enhanced by large scale pre-trained models; a structure and construction process for large-scale pre-trained models, which is enhanced by knowledge graphs; and related performance indicators are specified in this guide.

This guide specifies • A general integration framework among large-scale pre-trained models (such as Large Language Models, Large-scale Multi-modal Pre-trained Models) and knowledge graphs. • A structure and construction process for knowledge graphs, the process being enhanced by large-scale pre-trained models. • A structure and construction process for large-scale pre-trained models, the process being enhanced by knowledge graphs. • Related performance indicators.
The purpose of this guide is to provide the connectivity and interoperability between knowledge graphs and large-scale pre-trained models, thus enhancing both their performance through the integration and reducing the time cost on planning and designing the integration scheme.