[Purpose/Significance] This article aims to explore the transformation and application of large language models represented by ChatGPT in the field of semantic publishing of scientific journals, and actively promote the integration of semantic publishing of scientific journals and artificial intelligence. [Method/Process] Based on the systematic review of the semantic publishing development of scientific and technological journals, this article analyzed the impact of ChatGPT on the organizational content, organizational methods, and application models of semantic publishing. After exploring the implementation path of semantic organization that integrated large language models and knowledge organization tools, it proposed a strategy to promote semantic publishing services for scientific journal resources in the era of artificial intelligence. [Result/Conclusion] Science and technology journals need to innovate the semantic organization path, by combining large-scale language models with knowledge organization tools. Pre-training of large-scale academic resources, domain knowledge learning and curation based on annotated data, the construction of domain knowledge graphs integrating large language models, and intelligent content generation services based on user profiles, provide more comprehensive and intelligent solutions for science and technology journals. To promote semantic publishing services, scientific and technical journals need to comprehensively consider a few factors, such as data resources, publishing processes, application scenarios, and peer review, to give full play to the advantages and potential of AI, while avoiding possible problems and risks.
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