Telecom — Taxonomy Extraction for KM2 Portal

Overview

The primary purpose of this DAG is to enrich the taxonomy of the KM2 portal by extracting key terms and semantic relationships from various internal documents. The data sources for this process include ERP transaction logs and shared files, which serve as the foundation for the extraction workflow. The ingestion pipeline begins with the collection of these documents, followed by a series of processing steps that include text analysis, term normalization, and metadata enrichment. During text anal

The primary purpose of this DAG is to enrich the taxonomy of the KM2 portal by extracting key terms and semantic relationships from various internal documents. The data sources for this process include ERP transaction logs and shared files, which serve as the foundation for the extraction workflow. The ingestion pipeline begins with the collection of these documents, followed by a series of processing steps that include text analysis, term normalization, and metadata enrichment. During text analysis, natural language processing techniques are applied to identify relevant terms and their relationships within the documents. The normalization step ensures that terms are standardized, reducing redundancy and improving consistency across the taxonomy. After normalization, the metadata enrichment process enhances the extracted data with additional context, making it more valuable for users. Quality control measures are integrated throughout the workflow to verify the accuracy of the extracted data, ensuring that any discrepancies are addressed promptly. In the event of a failure during processing, a recovery mechanism is in place to retry the extraction, minimizing downtime and data loss. The outputs of this DAG include a refined taxonomy dataset, enriched metadata records, and a summary report of the extraction process. Monitoring key performance indicators such as extraction accuracy, processing time, and document coverage helps assess the effectiveness of the DAG. The business value lies in providing a comprehensive and accurate taxonomy that improves knowledge management, enhances search capabilities, and supports better decision-making within the telecom industry.

Part of the Data & Model Catalog solution for the Telecom industry.

Use cases

• Improves knowledge management across the organization
• Enhances search capabilities within the KM2 portal
• Supports better decision-making with accurate data
• Reduces redundancy in taxonomy terms
• Increases user satisfaction through improved data access