Schema Mapping via Layout and Content Visualization
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Solution Overview
Problem
Current data transformation tools are time-consuming and prone to errors, particularly for non-technical users, as they require manual mapping and debugging without providing actual data values, making it difficult to interpret schema elements and ensure consistency between heterogeneous data sources.
Innovation Solution
A computer-implemented method and system for schema mapping and data transformation that displays layouts of source and target documents with data values, allowing users to create associations between elements through a graphical user interface, and stores these associations with layout data for mapping, enabling direct data transformation and consistency management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing mapping tools are used to transform data between schemas, then data transformation capability is provided, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system enables self-service mapping by automatically analyzing data values and suggesting mappings between source and target schemas. The tool autonomously processes data instances, identifies corresponding elements based on value patterns, and generates mapping recommendations without requiring extensive manual intervention, thereby improving both efficiency and accuracy
Solution Approach 2:
The system implements feedback mechanisms by displaying actual data values during the mapping process and allowing users to verify and adjust automated mapping suggestions. This feedback loop enables users to confirm whether suggested mappings are correct based on real data evidence, reducing errors while maintaining high productivity
2Ease of operation
If manual schema mapping is performed without data values, then mapping structure can be defined, but interpretation of schema elements becomes difficult and error-prone
Solution Approach 1:
The system performs preliminary action by loading and displaying actual data values from source and target schemas before the user performs mapping. This allows users to understand the meaning and content of schema elements in advance, making the mapping process more intuitive and accurate
Solution Approach 2:
The system introduces data values as an intermediary between the user and schema elements. Instead of directly mapping abstract schema definitions, users can reference actual data instances that illustrate what the schemas represent, making interpretation easier and mapping more reliable
3Reliability
If existing mapping tools require debugging cycles, then transformation results can be verified, but the process becomes time-consuming
Solution Approach 1:
The system performs preliminary verification by displaying mapping results with actual data values immediately after mapping is defined, rather than requiring a separate debugging cycle. Users can see the transformed data and verify correctness in real-time, significantly reducing the time needed for verification while maintaining reliability
4Device complexity
If tools work at technical schema level without data values, then mapping structure can be created, but user understanding of schema meaning is limited
Solution Approach 1:
The system merges the schema structure view with actual data value display in a unified interface. Users can simultaneously see the structural relationship between schema elements and the actual data values they contain, maintaining interface simplicity while preserving complete information about schema meaning
Data Source
AI summary
Systems and methods are provided for schema mapping and the transformation of data. In accordance with one implementation, a computer-implemented method is provided that includes the steps of simultaneously displaying to a user, via a graphical user interface, layouts of the first and second documents, wherein the first and second documents have different data schemas and are instantiated with elements containing data values, and acquiring one or more associations from the user to map a first element of the first document to a second element of the second document. The method further includes the steps of indicating to the user a second association between elements in the first and second documents based on the association acquired from the user, and storing the association including the layout data corresponding to the first and second elements.


