Telecom — Scientific Document Taxonomy Creation Pipeline

Overview

The primary purpose of this DAG is to create a comprehensive taxonomy that classifies scientific and regulatory documents pertinent to the Telecom industry. It ingests various document types, including research papers, regulatory guidelines, and compliance documents, to extract key entities and concepts. The data ingestion pipeline begins with the collection of documents from multiple sources such as internal repositories, public databases, and regulatory bodies. Once ingested, the documents und

The primary purpose of this DAG is to create a comprehensive taxonomy that classifies scientific and regulatory documents pertinent to the Telecom industry. It ingests various document types, including research papers, regulatory guidelines, and compliance documents, to extract key entities and concepts. The data ingestion pipeline begins with the collection of documents from multiple sources such as internal repositories, public databases, and regulatory bodies. Once ingested, the documents undergo a series of processing steps where natural language processing algorithms analyze the text to identify relationships between concepts and extract relevant entities. Quality control measures are implemented to ensure high accuracy in entity extraction, with metrics such as coverage rate and precision being monitored throughout the process. The outputs of this DAG include a structured taxonomy and a knowledge graph that facilitates enhanced search capabilities and information access for stakeholders. By integrating this taxonomy into existing knowledge portals, organizations can significantly improve their ability to retrieve and utilize critical information, thus driving better decision-making and compliance adherence in the Telecom sector. The business value lies in streamlining research efforts, improving regulatory compliance, and enhancing overall operational efficiency through better information management.

Part of the Knowledge Portal & Ontologies solution for the Telecom industry.

Use cases

• Improves regulatory compliance through structured document classification.
• Enhances research efficiency by streamlining information access.
• Supports better decision-making with accurate data retrieval.
• Facilitates knowledge sharing across Telecom organizations.
• Increases operational efficiency by reducing document handling time.