Tabular Data Transformation via Point-and-Click Interface
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data management systems require users familiar with computer coding to transform tabular data into an object-based data modeling framework, making it difficult for non-technical users and time-consuming for others to perform data manipulation and analysis.
Innovation Solution
A computing system that provides a point-and-click interface for users to transform tabular data into an object-property format, generating required software code and facilitating data visualization, allowing users to map tabular data to an object-based format without coding expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a point-and-click interface is provided for data transformation, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system introduces an automated code generation intermediary that translates user-friendly point-and-click interface interactions into the complex software code required for data transformation. This mediator layer handles the complexity of mapping tabular data to object-property formats, ontology alignment, and transformation logic generation, while users only interact with simple visual controls.
Solution Approach 2:
The system implements self-service through automated code generation and transformation execution. Once users configure their data transformation requirements through the point-and-click interface, the system automatically generates the necessary software code, executes the transformation, and produces results without requiring users to manually write or manage complex transformation logic.
2Productivity
If automated code generation is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary action by pre-generating software code templates and transformation logic based on user selections in the point-and-click interface. The system anticipates the code generation needs and prepares transformation scripts before actual data processing begins, significantly improving productivity by eliminating manual coding steps.
Solution Approach 2:
The system replaces the mechanical process of manual software coding with an automated code generation mechanism. Instead of users manually writing transformation code, the system uses algorithms to automatically generate appropriate software code based on user specifications, thereby improving productivity while managing complexity through automation.
3Adaptability or versatility
If data transformation from tabular to object-based format is performed, then adaptability is improved, but loss of time occurs
Solution Approach 1:
The system efficiently manages the time cost of data transformation by dynamically adjusting transformation parameters and optimization settings based on the specific data characteristics and user requirements. The point-and-click interface allows users to configure transformation parameters that balance adaptability needs with time constraints, enabling the system to optimize the transformation process for each specific case.
Data Source
AI summary
Systems and methods are provided for facilitating the transformation of data from a tabular data set organized according to a data schema to an object based data set organized according to a data ontology. The provided systems and methods offer a graphical user interface for mapping the tabular based data to the object based data set according to the data ontology. The tabular based data may be transformed according to the mapping.