During the 2025 China Mobile Global Partners Conference, AsiaInfo Technologies officially released the digital intelligence ontology platform. As a bridge connecting data and service, AsiaInfo Technologies' digital intelligence ontology platform abstracts service data into semantic models to build an AI-oriented service foundation, and achieves simulated deduction and automatic decision driven by real-time service data, thereby comprehensively accelerating the digital intelligence transformation of enterprises.
Figure: Digital intelligence ontology platform - a bridge connecting data and service
Four Steps to Build Ontology, Bridging Semantic Modeling to Intelligent Execution
The digital intelligence ontology platform adopts a four-step method— "Ontology Building, Ontology Visualization, Ontology Simulation, and Ontology Application" — to enable AI to perform analysis and decision-making driven by service logic.
Ontology Building: An ontology designer is used to build the ontology, defining its objects and properties, the associations between objects, as well as service rules and behaviors.
Ontology Visualization: Querying and previewing of knowledge is performed graphically. During the design, it facilitates real-time browsing and adjustment of ontology content for the developers. After release, it provides graph exploration capabilities for authorized users.
Ontology Simulation: Traditional enterprises often rely on individual experience to make the final decision, which frequently leads to decision-making mistakes or inefficiency. Prior to key decisions, the platform can simulate real service processes based on the ontology model, and predict the possible results of different strategies.
Ontology Application: By empowering intelligent agents with ontology, the service execution and inference of AI become explainable. Each step of the inference process is supported by clear and traceable service logic.
Multi-domain Application Scenarios, Empowering AI Service Innovation
The digital intelligence ontology platform can be widely applied in various service scenarios such as government & enterprise marketing, customer experience management and autonomous network operation/maintenance, providing unified semantic support for AI's service understanding and execution.
In terms of government & enterprise marketing, a government and enterprise market ontology can be built to abstract objects, their relationships and logic. By leveraging large models, this approach can generate marketing prompts and plans, thereby enhancing the intelligence level of service expansion.
In terms of customer experience management, an experience ontology can be built based on the customer journey to identify key influencing factors. Combined with AI inference, this approach can generate individualized strategy suggestions, empowering enterprises to achieve experience optimization and precise service.
In terms of autonomous network operation/maintenance, the ontology, as the structured context for large models, provides logical constraints for fault localization, root cause analysis and solution generation, advancing the evolution of operation/maintenance mode towards proactive self-healing.
Jointly Building an Ontology Ecosystem, Stepping into the "AI Era Characterized by Understanding Business"
During the product release event, AsiaInfo Technologies jointly launched the "Ontology Open Source Program" with over ten organizations, including China Mobile, CICT Mobile, Institute for AI Industry Research Tsinghua University, Intel, Qualcomm, Poly U Academy for Artificial Intelligence, Tongji University, IEEE, Purple Mountain Laboratories, Sun Yat-Sen University, University of Jinan and University of Alberta, to promote the standardization and ecosystem development of ontology technology in the field of intelligent industry.
Figure: Digital intelligence ontology open source program officially released
The open-sourcing of the digital intelligence ontology platform marks AsiaInfo Technologies' another key breakthrough in "AI Native Infrastructure" layout. In the future, AsiaInfo Technologies will collaborate with ecosystem partners to jointly promote the large-scale application of ontology technology in industries such as communication, government affairs, finance and energy. This initiative aims to help enterprises build a new human-machine collaborative productivity system and accelerate the transition into the "AI era characterized by understanding business".
Figure: Scan the QR code to view the ontology open source program
