High Tech — KM2 Taxonomy Update Workflow

Overview

The KM2 Taxonomy Update Workflow is designed to enhance the search functionality of the KM2 portal by continuously updating its taxonomy and ontologies. Triggered by changes in user requirements or document updates, this DAG ingests data from various sources, including user feedback, document repositories, and existing taxonomy databases. The ingestion pipeline begins with collecting relevant data inputs, followed by a series of processing steps that include term integration, relationship adjust

The KM2 Taxonomy Update Workflow is designed to enhance the search functionality of the KM2 portal by continuously updating its taxonomy and ontologies. Triggered by changes in user requirements or document updates, this DAG ingests data from various sources, including user feedback, document repositories, and existing taxonomy databases. The ingestion pipeline begins with collecting relevant data inputs, followed by a series of processing steps that include term integration, relationship adjustments, and quality validation. Quality controls are a critical component of this workflow, involving expert validation to ensure the accuracy and relevance of the updated taxonomy. Once the updates are validated, they are published to the KM2 system, significantly improving the search relevance for users. Monitoring key performance indicators (KPIs) such as search result accuracy and user satisfaction rates allows for ongoing assessment of the taxonomy's effectiveness. The business value of this DAG lies in its ability to ensure that users have access to the most relevant and up-to-date information, thereby enhancing user experience and operational efficiency in the high-tech industry.

Part of the Data & Model Catalog solution for the High Tech industry.

Use cases

• Improved user experience with more relevant search results
• Increased operational efficiency through timely updates
• Enhanced adaptability to changing user needs and market trends
• Strengthened data governance with expert validation processes
• Greater competitiveness by leveraging accurate information retrieval