AI-Empowered Technical Knowledge Modelling and Transformation Mechanism in Cross-Cloud Environments
DOI:
https://doi.org/10.71222/73kb4110Keywords:
cross cloud environment, artificial intelligence, knowledge modeling, knowledge transformationAbstract
For technical knowledge in multi-cloud and cross-cloud environments, there exist characteristics such as structural diversity, meaning differences, and dynamic continuity. The existing knowledge management methods cannot adapt to this form of cooperation. This study focuses on proposing and answering how to establish and transform technical knowledge in a cross-cloud environment. It has established an AI modeling system of "extraction - matching - integration - update", proposed quantitative expressions suitable for cross-cloud knowledge, and developed strategies for automatic model extraction, semantic matching, and dynamic knowledge network construction. In terms of knowledge transformation, a cross-cloud technology knowledge transformation model centered on AI has been established, and a reasoning and decision-making mechanism has been introduced to accelerate the transformation efficiency. The effectiveness of the proposed method has been proved through typical cases, providing technical path support for cross-cloud knowledge organization and intelligent management.
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Copyright (c) 2025 Zhengrui Lu (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
