Mapping Support Apparatus for Efficient Data Classification
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Solution Overview
Problem
Manual classification of data into categories using standard classification dictionaries is time-consuming and inefficient, as it requires multiple searches between web search results and classification standards.
Innovation Solution
A mapping support apparatus that performs web searches and searches within a classification dictionary using parts or whole data as search keys, displaying results to users for efficient selection and application of classification information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual classification is performed using standard classification dictionaries, then classification accuracy can be maintained, but the time required for classification increases significantly
Solution Approach 1:
The patent introduces an automated search system that acts as an intermediary between the raw data and the classification dictionary. The system automatically searches the classification dictionary using the data as a search key, retrieves matching classification information, and presents it to the user for confirmation. This intermediary automation reduces the time required while maintaining accuracy through user verification.
Solution Approach 2:
The system enables self-service classification by automatically performing the search and retrieval operations that would otherwise require manual effort. The automated search unit queries the classification dictionary and retrieves relevant classification information without human intervention, though the final selection is confirmed by the user to ensure accuracy.
2Reliability
If multiple searches are performed between web search results and classification standards, then comprehensive classification coverage is achieved, but the operational complexity increases
Solution Approach 1:
The patent merges the web search function and the classification dictionary search function into a single integrated system. The search unit performs both types of searches automatically, combining their results and presenting them together to the user. This integration maintains comprehensive classification coverage while reducing operational complexity by eliminating the need for users to manually perform separate searches.
3Productivity
If automated search is performed using data as search key, then classification speed is improved, but search accuracy may decrease
Solution Approach 1:
The system implements feedback by presenting the automatically retrieved classification information to the user for confirmation and correction. The user can review the search results, verify the accuracy of the retrieved classification information, and make corrections if needed. This feedback loop ensures search accuracy is maintained while benefiting from the speed of automated searching.
Data Source
AI summary
A mapping support apparatus includes a search unit that performs a web search by using a part or a whole of dictionary mapping target data as a search key, and performs a search on a predetermined classification dictionary using a part or a whole of the dictionary mapping target data as a search key, a UI providing unit that displays a screen including a search result of the web search and a search result of the predetermined classification dictionary, and a data creation unit that applies, to the dictionary mapping target data, classification information selected by a user from the search result of the predetermined classification dictionary.