Ontology-Based Workflow for Multi-Language Component Integration
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Solution Overview
Problem
Current data analysis platforms are limited to single programming languages, restricting users to specific tools and lacking standardized definition and management of components, preventing optimal data mining and analysis, and failing to support customization and flexible assembly of multi-programming language components.
Innovation Solution
An ontology-based multi-programming language component specifications and workflow system, including a multi-language programming component manager, design modeler, transformation engine, and core workflow engine, enabling flexible assembly and conversion across different programming languages, with support for no-code/low-code components and online code development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a data analysis platform supports only a single programming language, then the system complexity is reduced and ease of operation is improved, but the adaptability and versatility of the platform deteriorate
Solution Approach 1:
The patent implements a unified workflow management system that can execute components from multiple programming languages (Python, Java, R, etc.) through a common interface. The system provides universal support for different programming languages by establishing standardized component definitions and a translation layer that maps various language-specific components to a unified execution model, enabling the platform to handle diverse data analysis tasks while maintaining ease of operation.
Solution Approach 2:
The patent introduces a workflow engine as an intermediary layer between the user interface and the diverse programming language components. This mediator translates high-level workflow definitions into language-specific executions, managing the complexity of multi-language support internally while presenting a simplified interface to users. The workflow engine acts as a buffer that handles language translation and coordination, allowing users to benefit from multiple languages without directly dealing with their complexities.
2Productivity
If the platform enables flexible assembly of multi-programming language components, then the adaptability and productivity are improved, but the device complexity and difficulty of managing components increase
Solution Approach 1:
The patent segments the complex multi-language component management system into distinct modular layers: a component definition layer that handles language-specific component specifications, a workflow design layer for assembling components, and an execution layer that manages runtime coordination. This segmentation allows each layer to handle specific aspects of complexity independently, enabling flexible component assembly while maintaining manageable system structure through clear separation of concerns.
Solution Approach 2:
The patent employs parameterized component definitions that allow the same component interface to work across multiple programming languages by changing language-specific parameters. The system uses configurable parameters to adapt component behavior to different programming languages while maintaining a unified workflow model. This parameter-based approach enables flexible assembly of multi-language components without requiring separate management mechanisms for each language.
3Adaptability or versatility
If standardized definition and management of components is implemented across multiple programming languages, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The patent establishes a universal component definition framework that provides standardized interfaces for components across multiple programming languages. The system defines language-agnostic component contracts while allowing language-specific implementations, enabling adaptability through consistent standardized definitions. This universal framework manages complexity by providing a common vocabulary and interface structure that works across Python, Java, R and other languages without requiring separate management systems for each.
Data Source
AI summary
Disclosed are an ontology-based multi-programming language component specifications and workflow system and a use method. A multi-language programming component manager is connected with a multi-language programming component workflow design modeler and a multi-programming language transformation engine. A core workflow engine is connected with the multi-language programming component workflow design modeler and the multi-programming language transformation engine. An ontology that supports normalized management of multi-programming language transformation and components is designed to standardize the definition of core components, support multi-programming language data conversion communication and component management, support custom design creation, flexible expansion and result interaction of multi-class workflow components, make full use of advantages of various programming languages, and reduce technical difficulties in the applicability of components developed in various programming languages; while achieving the maximum use of multi-programming languages to achieve the effect of “1+1>2”.