Knowledge Graph Contract Text Checking for Accurate Risk Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing contract checking methods are inefficient and prone to errors in identifying potential risks, particularly in sales contracts, which are complex and require thorough compliance checks.
Innovation Solution
A text checking method utilizing a knowledge graph to establish attributes and attribute values from contract text, enabling automated checks for text errors, consistency, completeness, and logic, thereby enhancing accuracy and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual contract checking is performed, then flexibility and adaptability are maintained, but checking efficiency and productivity are low
Solution Approach 1:
The system enables automated self-checking of contracts by extracting entities, attributes, and values from contract text, building a knowledge graph, and automatically comparing contract clauses against compliance rules and historical data without requiring manual intervention for each check
Solution Approach 2:
The patent replaces manual mechanical checking processes with an automated information processing system that uses natural language processing, knowledge graph construction, and rule-based comparison to perform compliance checks, thereby substituting human labor with automated computational methods
2Measurement precision
If comprehensive compliance checks are performed on complex sales contracts, then identification accuracy improves, but checking time and complexity increase
Solution Approach 1:
The system performs preliminary extraction of entities, attributes, and values from contract text before the actual compliance check, and pre-builds a knowledge graph structure that organizes contract information in advance, thereby reducing the time required during the actual compliance verification process
Solution Approach 2:
The patent segments the contract checking process into distinct modules: text preprocessing, entity extraction, attribute identification, knowledge graph construction, and compliance rule comparison. This segmentation allows each module to be optimized independently and processed in parallel where possible, improving overall efficiency without compromising accuracy
3Reliability
If traditional text checking methods are used, then simplicity is maintained, but error rate in identifying potential risks increases
Solution Approach 1:
The patent introduces a knowledge graph as an intermediary structure between the raw contract text and the compliance checking process. The knowledge graph serves as a mediator that organizes extracted entities, attributes, and values into a structured format, enabling more reliable compliance verification while managing system complexity through modular architecture
Data Source
AI summary
The present disclosure provides a text checking method based on a knowledge graph, an electronic device and a medium. The method includes: obtaining a text of a contract to be checked; establishing a knowledge graph according to the text of the contract to be checked, the knowledge graph including a plurality of attributes and a plurality of attribute values corresponding to the plurality of attributes; and checking the text of the contract to be checked based on the knowledge graph.