Standard Management Device for Data Exchange
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Solution Overview
Problem
The increasing amount of data and metadata across various fields poses challenges in efficient data exchange and management due to differing data standards, making it difficult for electronic devices to collect, map, and analyze similarities between different data standards.
Innovation Solution
An electronic device with a standard management system comprising a standard harvester, mapper, and repository, which collects, parses, and analyzes standard information, and generates mapping and relationship information to identify similarities between various data standards, facilitating efficient data exchange and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data standards from multiple standard organizations are collected and mapped, then data exchange capability is improved, but system complexity increases
Solution Approach 1:
The system segments the complex task of standard management into distinct functional modules: a standard harvester that collects standards from multiple organizations, a standard mapper that maps relationships between standards, and a standard repository that stores the collected and mapped standards. This segmentation allows each module to handle specific aspects of standard management independently, reducing overall system complexity while maintaining comprehensive data exchange capability.
Solution Approach 2:
The patent introduces a standard mapper as an intermediary component that mediates between different data standards from various organizations. The mapper establishes mapping relationships between standards, acting as a bridge that enables data exchange without requiring direct integration between all standard organizations. This intermediary approach simplifies the system architecture compared to direct peer-to-peer integration.
2Reliability
If standard information is collected and analyzed from multiple organizations, then data standard management capability is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by collecting and storing standard information from multiple standard organizations in advance through the standard harvester. The standards are pre-processed, parsed, and stored in the standard repository with their structural information extracted beforehand. This preliminary preparation reduces processing time when actual data exchange or mapping operations are needed, as the foundation work is already completed.
3Measurement precision
If detailed parsing and analysis of standard information is performed, then mapping accuracy is improved, but computational complexity increases
Solution Approach 1:
The parsing and analysis process is segmented into distinct stages: the standard harvester collects raw standard information, a parser extracts structural elements and metadata, and the standard mapper analyzes relationships between parsed elements. This segmentation of the analysis process allows for detailed parsing at each stage without overwhelming computational complexity, as each segment handles a specific aspect of the analysis independently.
Data Source
AI summary
Disclosed is an electronic device that receives, by a standard harvester, a first request indicating a collection operation of first standard information among a plurality of standard information from a user, parses, by the standard harvester, the first standard information to generate parsing information, generates, by the standard mapper, mapping information indicating parsing units based on the parsing information, generates, by the standard harvester, standard analysis information based on the parsing information and the mapping information, and stores, by the standard repository, the standard analysis information, and a standard management device that receives, by the standard mapper, a second request indicating a mapping operation of second standard information and third standard information among the plurality of standard information from the user, generates, by the standard mapper, relationship information indicating similarity between the second and the third standard mapping information, and stores, by the standard repository, the relationship information.