Information Processing System for Document Similarity Analysis
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Solution Overview
Problem
In group work settings, efficiently sharing information among participants with varying knowledge bases is challenging due to the difficulty in synchronizing and prioritizing the sharing of details within a predetermined time frame.
Innovation Solution
An information processing system that analyzes documents to calculate the degree of similarity between blocks of sentences, determines the execution order of sharing tasks based on similarity, and allocates work time according to the number of characters in each block, facilitating efficient information sharing among participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If information sharing is conducted without analyzing similarity degrees, then all participants can share their information, but the time required increases significantly and efficiency decreases
Solution Approach 1:
The patent segments the information sharing process by dividing documents into blocks of sentences and calculating similarity degrees for each block. This segmentation allows the system to identify which portions of information need to be shared and prioritize them, thereby improving efficiency while reducing time loss.
Solution Approach 2:
The patent performs preliminary analysis by calculating the degree of similarity between information blocks before the actual sharing process. This preliminary action enables the system to determine the execution order and allocate time efficiently, avoiding unnecessary sharing of redundant information and thus reducing overall time requirements.
2Loss of information
If all information blocks are shared regardless of similarity, then complete information exchange occurs, but the sharing process becomes inefficient and time-consuming
Solution Approach 1:
The patent applies local quality by differentiating the treatment of different information blocks based on their similarity degrees. Blocks with lower similarity degrees are prioritized for sharing, while blocks with high similarity degrees are skipped. This localized differentiation maintains information completeness for relevant content while significantly improving sharing speed.
Solution Approach 2:
The patent changes the parameter of information sharing priority based on the calculated similarity degree. By using similarity degree as a filtering parameter, the system selectively shares information blocks that meet certain criteria (lower similarity degrees), thereby maintaining necessary information exchange while increasing sharing efficiency.
3Ease of operation
If time allocation is not based on block characteristics, then uniform sharing is simplified, but inefficient use of time occurs
Solution Approach 1:
The patent introduces dynamics to time allocation by assigning different time weights to different information blocks based on their characteristics (number of characters and similarity degree). This dynamic time allocation ensures that more important blocks receive appropriate attention while avoiding uniform treatment, thus preventing time waste without significantly complicating the operation.
Data Source
AI summary
An information processing system includes a processor configured to analyze an obtained document, the processor being configured to: obtain plural documents where information to be shared by plural participants is recorded; calculate a degree of similarity in details in units of blocks between different documents, the blocks being blocks of sentences included in the documents; determine an execution order of executing work of sharing details of each of the blocks on the basis of the degree of similarity; and allocate work time for performing the work of sharing details of each of the blocks on the basis of a number of characters in each of the blocks.