Information Processing Device for Targeted Past Case Retrieval
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Solution Overview
Problem
Existing technologies fail to effectively acquire a desired past case example due to judging similarity based on all requirement specification items, leading to irrelevant past case examples being extracted.
Innovation Solution
An information processing device with an acquisition unit for input information, a detection unit to identify non-standard items, and a search unit to find past case examples using standard judgment and past case example information, allowing for targeted retrieval of relevant past case examples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If similarity judgment is made by using all requirement specification items, then comprehensive comparison is achieved, but desired past case examples cannot be acquired due to irrelevant matches
Solution Approach 1:
The requirement specification items are segmented into standard items and nonstandard items. The system separately processes these segments by comparing only nonstandard items against past case examples, while standard items are matched directly. This segmentation resolves the contradiction by preventing irrelevant standard items from degrading match quality while maintaining comprehensive comparison through separate handling of both item types.
Solution Approach 2:
The invention extracts nonstandard items from the complete set of requirement specification items. By taking out only the nonstandard items for similarity comparison against past case examples, the system eliminates the harmful effect of irrelevant standard items while preserving the essential comparison function. This extraction directly addresses the contradiction by focusing comparison efforts on the relevant subset of items.
2Quantity of substance
If all requirement specification items are used for similarity judgment, then complete comparison is performed, but processing load increases and desired past case examples cannot be acquired
Solution Approach 1:
The system extracts only the nonstandard items from the complete requirement specification for comparison operations. This extraction reduces the quantity of items requiring similarity computation while maintaining the ability to acquire desired past case examples. The standard items are handled through direct matching without similarity computation, thereby improving productivity.
Solution Approach 2:
By segmenting the requirement specification items into standard and nonstandard categories, the system applies different processing strategies: direct matching for standard items and similarity computation for nonstandard items. This segmentation reduces the overall processing load by eliminating unnecessary similarity computations on standard items while maintaining comprehensive comparison coverage.
Data Source
AI summary
An information processing device includes an acquisition unit that acquires input information indicating correspondence relationship between a plurality of items regarding one or more products and a plurality of pieces of information, a standard judgment table as information indicating a standard of each of the plurality of items, and a past case example table as information indicating a past case example regarding each of the plurality of items, a detection unit that detects a non-standard item, as an item in which corresponding information is non-standard, out of the plurality of items based on the standard judgment table and the plurality of pieces of information, and a search unit that searches for a past case example regarding the non-standard item by using the past case example table.