Knowledge Graph for Tribal Knowledge Compliance Automation
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Solution Overview
Problem
Existing compliance control systems face challenges in automating compliance processes due to information being stored in multiple sources with different formats, making it difficult for human users to access and compile in a timely manner, and procedures often rely on subjective human judgment to identify subject matter experts.
Innovation Solution
A system that generates a knowledge graph from tribal exchanges, including semantic and operational levels, to build a knowledge base that identifies parties, tracks status changes, and recommends solutions, experts, and compliance controls, facilitating automated compliance control deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If compliance information is stored in multiple sources with different formats, then information completeness is improved, but information accessibility and compilation speed deteriorate
Solution Approach 1:
The patent combines multiple scattered compliance information sources into a unified knowledge graph structure. The system ingests data from various formats and sources, normalizing and integrating them into a single accessible graph that maintains the completeness of information while enabling rapid retrieval through standardized query interfaces.
Solution Approach 2:
The knowledge graph acts as an intermediary layer between diverse compliance information sources and user queries. It provides a standardized interface and data model that translates between different source formats and user needs, eliminating the need for users to manually compile information from multiple sources.
2Productivity
If tribal knowledge is extracted and structured into a knowledge graph, then compliance control deployment speed is improved, but system complexity increases
Solution Approach 1:
The system segments compliance knowledge into distinct entities and relationships within the knowledge graph, organizing tribal knowledge into structured components such as compliance requirements, controls, procedures, and expert relationships. This segmentation enables efficient querying and deployment while managing complexity through modular organization.
3Productivity
If automated compliance control deployment is implemented, then deployment efficiency is improved, but reliance on subjective human judgment must be reduced
Solution Approach 1:
The system incorporates feedback mechanisms where compliance outcomes and expert performance are tracked and fed back into the knowledge graph. This allows the system to learn from past compliance activities, refine expert identification algorithms, and continuously improve the objectivity and accuracy of automated decision-making.
Data Source
AI summary
Techniques facilitating maintenance of tribal knowledge for accelerated compliance control deployment are provided. In one example, a system includes a memory that stores computer executable components and a processor that executes computer executable components stored in the memory, wherein the computer executable components include a knowledge base generation component that generates a knowledge graph corresponding to respective commitments created via tribal exchanges, the knowledge graph comprising a semantic level and an operational level; a semantic graph population component that populates the semantic level of the knowledge graph based on identified parties to the respective commitments; and an operational graph population component that populates the operational level of the knowledge graph based on tracked status changes associated with the respective commitments.