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The data interoperability system applies AI technologies to promote loose interoperability among data.
It consists of four components.
First, Secure Ingest.
Data uploaded from each local government are anonymized to protect personal information and are managed in accordance with operational rules.
Second, Data Lake.
Aggregated data are classified into three layers: Raw data, Curated data, and Analytics data.
This structure enables efficient metadata processing and facilitates data discovery and sharing.
Third, Statistical and AI Analysis.
The data are used for statistical analysis, machine learning training, and inference.
Finally, Application Dashboard.
The results of statistical analysis and AI inference are visualized and shared with both local governments and citizens. |
IEEE/ICACT20260157 Slide.27
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