Retail — Ontology Graph Creation for Standard Operating Procedures

Free

This DAG generates ontology graphs to organize Standard Operating Procedures (SOPs) information, enhancing knowledge management. It ensures data consistency and completeness through rigorous quality controls.

Weeki Logo

Overview

The purpose of this DAG is to create ontology graphs that structure and organize information from Standard Operating Procedures (SOPs) within the retail industry. The primary data sources include various documents, such as SOP manuals and databases containing operational data. The ingestion pipeline begins with the extraction of key concepts from these documents, followed by the establishment of relationships between these concepts to form a coherent ontology. Each graph undergoes a validation p

The purpose of this DAG is to create ontology graphs that structure and organize information from Standard Operating Procedures (SOPs) within the retail industry. The primary data sources include various documents, such as SOP manuals and databases containing operational data. The ingestion pipeline begins with the extraction of key concepts from these documents, followed by the establishment of relationships between these concepts to form a coherent ontology. Each graph undergoes a validation process to ensure accuracy and relevance, supported by quality control measures that verify data consistency and completeness. The final output consists of structured ontology graphs that are published into a knowledge management system, facilitating easy access and retrieval of SOP information. Monitoring is conducted through Key Performance Indicators (KPIs) that track the completeness and usability of the ontologies, ensuring they meet the operational needs of the retail business. The business value lies in improved information retrieval, enhanced training processes, and streamlined operational efficiency, ultimately driving better decision-making and compliance within the organization.

Part of the SOPs & Playbooks solution for the Retail industry.

Use cases

  • Improves information retrieval for operational efficiency.
  • Enhances training processes with structured knowledge.
  • Supports compliance through well-defined SOPs.
  • Facilitates better decision-making across departments.
  • Streamlines communication of procedures and policies.

Technical Specifications

Inputs

  • SOP manuals in PDF format
  • Operational databases from ERP systems
  • Internal documentation repositories
  • Employee feedback forms on SOPs

Outputs

  • Structured ontology graphs for SOPs
  • Reports on graph validation results
  • KPIs on ontology completeness
  • Published graphs in the knowledge management system

Processing Steps

  1. 1. Extract concepts from SOP documents
  2. 2. Establish relationships between extracted concepts
  3. 3. Validate the constructed ontology graphs
  4. 4. Perform quality control checks on data
  5. 5. Publish validated graphs to the knowledge management system

Additional Information

DAG ID

WK-0398

Last Updated

2026-01-01

Downloads

64

Tags