Public Sector — Regulatory Knowledge Ontology Graph Generation

Overview

The primary purpose of this DAG is to generate ontology graphs from regulatory data, thereby improving the structuring of knowledge within the public sector. By leveraging updated legislation and new publications as triggers, the workflow begins with data ingestion from various sources such as regulatory databases and legal documents. The ingestion pipeline normalizes concepts to ensure consistency and clarity in the data. Subsequently, the process involves creating relationships between entitie

The primary purpose of this DAG is to generate ontology graphs from regulatory data, thereby improving the structuring of knowledge within the public sector. By leveraging updated legislation and new publications as triggers, the workflow begins with data ingestion from various sources such as regulatory databases and legal documents. The ingestion pipeline normalizes concepts to ensure consistency and clarity in the data. Subsequently, the process involves creating relationships between entities to form a comprehensive knowledge graph. Quality controls are integral to this workflow, including data consistency checks and role-based access control (RBAC) to manage who can view or modify the data. The resulting ontology graphs are exposed through an API, enabling integration with other systems and facilitating access to structured regulatory knowledge. Monitoring KPIs such as the number of concepts added and the API response time provide insights into the efficiency and effectiveness of the DAG. In case of failures during the ingestion process, the DAG is designed to automatically retry, ensuring minimal disruption. This solution not only streamlines regulatory compliance efforts but also enhances decision-making capabilities by providing a structured and accessible knowledge base.

Part of the Scientific ML & Discovery solution for the Public Sector industry.

Use cases

• Improved regulatory compliance through structured knowledge
• Enhanced decision-making capabilities for public sector entities
• Increased efficiency in accessing regulatory information
• Reduced risk of data inconsistencies and errors
• Streamlined updates in response to legislative changes