Document Processor for Automatic Item Association
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Solution Overview
Problem
Requirement management systems require users to manually register relationships between documents, which is time-consuming and prone to errors, especially when documents contain tables, leading to inaccurate link establishment.
Innovation Solution
A document processor that converts table-formatted items into text format and uses an association processing unit to automatically associate mentioned items between documents based on similarity, reducing the need for manual registration and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual registration of relationships between documents is performed, then users can establish links between documents, but it is time-consuming and prone to errors
Solution Approach 1:
The system enables automatic association of mentioned items between documents through the association processing unit, which autonomously identifies and links corresponding items without requiring manual user intervention. This self-service mechanism eliminates the time-consuming manual registration process while maintaining high accuracy through automated comparison and matching algorithms.
Solution Approach 2:
The patent replaces the mechanical manual operation of registering relationships with an automated information processing system. The association processing unit uses computational methods to automatically establish links between mentioned items in different documents, substituting human manual work with machine-based automatic association based on text analysis and pattern recognition.
2Adaptability or versatility
If documents contain tables, then information can be organized structurally, but links cannot be established correctly
Solution Approach 1:
The conversion unit changes the format parameter of table data from structured tabular form to linear text form. By converting tables to text, the system transforms the structural representation into a format that the association processing unit can effectively analyze and match, thereby enabling accurate link establishment across different document formats including those containing tables.
Solution Approach 2:
The conversion unit acts as an intermediary between the table-formatted documents and the association processing unit. It mediates the transformation of table data into text format, bridging the gap between structured table representation and the text-based association algorithm, thereby enabling the system to handle tabular data accurately.
3Stability of the object's composition
If table-formatted items are processed directly, then structural information is preserved, but association accuracy decreases
Solution Approach 1:
The system performs preliminary conversion of table data to text format before the association processing occurs. This preliminary action of format conversion ensures that the data is in the appropriate form for accurate association, preventing the loss of structural information from affecting the accuracy of the linking process between documents.
Data Source
AI summary
A document processor for associating mentioned items with each other in two documents. A conversion unit converts at least a portion of mentioned items expressed in table format among the mentioned items included in the two documents. An association processing unit associates mentioned items with each other in the two documents including at least some mentioned items converted to text format. The conversion unit converts each of a plurality of cells included in the mentioned items expressed in table format to separate mentioned items in text format.