Public Sector — Public Document Taxonomy and Ontology Management

Overview

The purpose of this DAG is to manage the creation and updating of taxonomies and ontologies specifically for public documents. By integrating data from various sources such as government databases, document repositories, and public records, the DAG ensures that the classifications remain relevant and up-to-date. The ingestion pipeline begins with data collection from these sources, followed by normalization processes to standardize the data formats. Next, the system applies transformation logic

The purpose of this DAG is to manage the creation and updating of taxonomies and ontologies specifically for public documents. By integrating data from various sources such as government databases, document repositories, and public records, the DAG ensures that the classifications remain relevant and up-to-date. The ingestion pipeline begins with data collection from these sources, followed by normalization processes to standardize the data formats. Next, the system applies transformation logic to categorize documents according to predefined taxonomic structures. Quality control measures are implemented throughout the process to verify the consistency and relevance of classifications, ensuring that the taxonomy accurately reflects the current state of public documents. Outputs of this DAG include updated taxonomy and ontology files, which can be utilized by public sector organizations for improved document management. Monitoring KPIs such as update rates and processing times for modification requests provide insights into the efficiency of the workflow. The business value lies in enhanced organization and retrieval of public documents, ultimately leading to improved transparency and accessibility for citizens.

Part of the Data & Model Catalog solution for the Public Sector industry.

Use cases

• Improves document retrieval efficiency for public sector
• Enhances transparency and accessibility of public information
• Reduces manual effort in document classification
• Supports compliance with public sector regulations
• Facilitates better decision-making through organized data