Automated Workflow Generation via Metadata Linking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing workflow generation platforms require significant manual intervention and coding efforts to integrate disparate executable modules, leading to redundant features and inefficiencies due to inconsistencies in data formats, execution platforms, and documentation, making it difficult to create composite workflows that can seamlessly pass data between modules.
Innovation Solution
An automated workflow generation platform that uses metadata to automatically link and order executable modules, generate necessary metadata for new modules, and select foundational modules, enabling seamless data passing and integration through a graphical user interface, thereby reducing manual effort and increasing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual coding is used to integrate executable modules, then flexibility and adaptability are achieved, but time consumption and complexity increase significantly
Solution Approach 1:
The system enables automated workflow generation where the platform itself performs the integration tasks. The workflow generation platform automatically generates executable workflows by selecting modules from a library, determining their execution order, and configuring data passing between them without requiring manual programmer intervention, thus resolving the contradiction between adaptability and time consumption
Solution Approach 2:
The system pre-establishes a library of executable modules with standardized interfaces and metadata before workflow creation. This preliminary preparation allows the automated system to quickly assemble workflows by combining pre-vetted modules rather than creating everything from scratch, reducing time consumption while maintaining adaptability through the modular approach
2Reliability
If manual integration of disparate modules is performed, then compatibility issues can be addressed, but redundancy and inefficiency increase
Solution Approach 1:
The system implements a universal interface standard for all executable modules through standardized metadata schemas. This universality allows disparate modules with different functions to be integrated automatically without manual compatibility work, improving efficiency while maintaining reliability through consistent interface contracts that all modules must follow
Solution Approach 2:
The system uses metadata parameters to automatically determine compatibility and integration requirements between modules. By changing from manual compatibility checking to automated parameter-based matching, the system resolves compatibility issues efficiently through algorithmic comparison of module interfaces, data formats, and execution requirements rather than manual intervention
3Productivity
If automated workflow generation is implemented, then productivity and efficiency improve, but complexity of the system increases
Solution Approach 1:
The system introduces metadata as an intermediary layer between executable modules and the workflow generation process. This metadata acts as a mediator that carries interface specifications, data format definitions, and execution requirements, allowing the automated system to manage complexity through standardized intermediate representations rather than direct complex module-to-module interactions
4Ease of operation
If metadata-based automated linking is used, then data passing between modules is streamlined, but requirements for metadata standards increase
Solution Approach 1:
The system segments metadata into distinct, manageable components including interface definitions, data format specifications, execution parameters, and compatibility rules. This segmentation allows the complex metadata requirements to be broken down into standardized, reusable elements that can be independently defined and validated, making the automated linking process easier while managing the complexity through modular metadata structures
Data Source
AI summary
Various embodiments are directed to systems and methods for automatically constructing executable workflows comprising a plurality of executable modules. The system comprises a workflow assembly platform configured to review metadata associated with each of the plurality of executable modules to be included within the workflow and to automatically generate links for passing data between the selected executable modules such that execution of the workflow by an execution platform results in data flow from a workflow input, through each of the included executable modules, to generate and execute a workflow.


