Public Sector — Regulatory Knowledge Taxonomy Development Pipeline

Overview

The primary purpose of this DAG is to create a structured taxonomy for organizing regulatory knowledge within the public sector. Triggered by the arrival of new data, it initiates a comprehensive data ingestion pipeline that extracts named entities from various sources, including regulatory documents and compliance reports. The architecture consists of multiple processing steps: first, entity extraction identifies relevant terms and phrases; next, classification categorizes these entities accord

The primary purpose of this DAG is to create a structured taxonomy for organizing regulatory knowledge within the public sector. Triggered by the arrival of new data, it initiates a comprehensive data ingestion pipeline that extracts named entities from various sources, including regulatory documents and compliance reports. The architecture consists of multiple processing steps: first, entity extraction identifies relevant terms and phrases; next, classification categorizes these entities according to a predefined taxonomy; and finally, indexing organizes the classified data for efficient retrieval. Quality controls are implemented throughout the pipeline, ensuring high accuracy in entity extraction and comprehensive coverage of relevant topics. The outputs of this DAG feed into a knowledge graph, which serves as a dynamic resource for stakeholders in the public sector. Key performance indicators (KPIs) such as extraction accuracy and entity coverage are monitored to assess the effectiveness of the taxonomy development process. This DAG not only streamlines knowledge management but also enhances decision-making capabilities by providing structured access to critical regulatory information, thereby delivering significant business value to public sector organizations.

Part of the Knowledge Portal & Ontologies solution for the Public Sector industry.

Use cases

• Improved regulatory compliance through structured knowledge management
• Enhanced decision-making capabilities with organized information
• Increased efficiency in accessing regulatory knowledge
• Facilitated collaboration among public sector stakeholders
• Reduced time spent on manual data organization and retrieval