Defense & Aerospace — Named Entity Recognition Extraction from Technical Documents

Overview

The 'Named Entity Recognition Extraction from Technical Documents' DAG is designed to facilitate the extraction of named entities (NER) from various technical documents sourced from enterprise resource planning (ERP) systems and internal databases. The primary purpose of this DAG is to improve the efficiency and accuracy of information retrieval, thereby supporting governance and compliance initiatives within the Defense & Aerospace industry. The data ingestion pipeline begins with the collectio

The 'Named Entity Recognition Extraction from Technical Documents' DAG is designed to facilitate the extraction of named entities (NER) from various technical documents sourced from enterprise resource planning (ERP) systems and internal databases. The primary purpose of this DAG is to improve the efficiency and accuracy of information retrieval, thereby supporting governance and compliance initiatives within the Defense & Aerospace industry. The data ingestion pipeline begins with the collection of documents, which are then normalized and validated to ensure high-quality outputs. This process includes steps such as data cleansing, entity identification, and categorization of extracted information. The validated entities are subsequently stored in a centralized data warehouse, making them readily accessible for semantic search through an API interface. Key performance indicators (KPIs) for monitoring the effectiveness of this DAG include the precision rate of entity extraction and the overall processing time. Additionally, a robust recovery mechanism is implemented to handle any failures during the extraction process, ensuring data integrity and continuity. The business value derived from this DAG lies in its ability to streamline compliance workflows, enhance data discoverability, and support decision-making processes by providing accurate and timely information.

Part of the Governance & Compliance solution for the Defense & Aerospace industry.

Use cases

• Improves accuracy and speed of information retrieval
• Enhances compliance with regulatory requirements
• Facilitates better decision-making through data insights
• Streamlines workflows in governance and compliance
• Reduces manual effort in data processing tasks