Document Correspondence Estimation for Defect Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing design support systems cannot establish correspondence relations between items in existing documents that lack initial associations, limiting their ability to fully describe defect causes and measures across upstream and downstream processes in manufacturing industries.
Innovation Solution
An information processing system that includes a document data reception unit, a storage unit, and a correspondence relation estimation unit to extract coupling relations and word relationships between items in multiple documents, enabling the estimation and addition of correspondence relations between items in both new and existing documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If correspondence relations are manually established between items in upstream and downstream process documents, then the completeness of defect cause and measure descriptions is improved, but the time and labor required for document creation and maintenance increases significantly
Solution Approach 1:
The system enables documents to automatically establish correspondence relations between items through self-service mechanisms. The correspondence relation estimation unit automatically analyzes and establishes links between items in upstream and downstream process documents without requiring manual intervention, thus maintaining complete defect descriptions while eliminating the time-consuming manual pairing process.
Solution Approach 2:
The patent replaces the mechanical manual process of establishing correspondence relations with an automated information processing system. The system uses computational methods including item-item coupling relation extraction and word relationship extraction to automatically determine and establish correspondence relations, substituting human manual work with automated processing.
2Productivity
If correspondence relations are automatically estimated using computational methods, then the time required for document processing is reduced, but the accuracy of establishing correct correspondence relations between items may deteriorate
Solution Approach 1:
The automated correspondence estimation process is segmented into multiple independent analysis components: item-item coupling relation extraction analyzes structural relationships between items, while word relationship extraction analyzes semantic relationships between words within items. This segmentation allows each component to focus on specific aspects of correspondence, improving overall accuracy while maintaining automated processing speed.
Solution Approach 2:
The system incorporates feedback mechanisms where the correspondence relation estimation results are evaluated and refined. The system uses the extracted coupling relations and word relationships to iteratively improve the accuracy of correspondence establishment, ensuring that automated processing maintains high precision in identifying correct item correspondences between documents.
Data Source
AI summary
An information processing system includes: a document reception unit configured to receive multiple pieces of document data; a data storage unit configured to store the received multiple pieces of document data; and a correspondence relation estimation unit configured to estimate a correspondence relation at least between an item in a first document data and an item in a second document data out of the multiple pieces of document data stored in the data storage unit. The correspondence relation estimation unit includes an item-item coupling relation extraction unit configured to extract a coupling relation among items in the first document data and a coupling relation among items in the second document data, and a word relationship extraction unit configured to extract a relevance between a word that appears in an item in the first document data and a word that appears in an item in the second document data.