Formalized Drive System Knowledge for FAIR Analytics Development
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Solution Overview
Problem
The development of analytics algorithms for drive systems is highly dependent on the collaboration between drive domain experts and data analytics experts, leading to potential delays, suboptimal results, or incorrect outcomes due to insufficient skills or unconsidered domain expertise or mathematical constraints.
Innovation Solution
A method and system for formalized drive systems information representation using FAIR data principles, providing a formal description of elements and their interrelations, enabling enhanced semantic reasoning and analytics, and supporting the development of analytics algorithms through a formalized markup or ontological representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If collaboration between drive domain experts and data analytics experts is required for algorithm development, then domain expertise and mathematical constraints are considered, but development time increases and productivity decreases
Solution Approach 1:
A formal knowledge representation system acts as an intermediary between domain experts and data analytics experts. This system captures domain knowledge in a standardized format, enabling automated retrieval and utilization of expert knowledge without requiring continuous human collaboration. The formal representation serves as a mediator that translates domain concepts into machine-processable structures, allowing algorithms to be developed with domain expertise embedded while reducing direct human interaction requirements.
Solution Approach 2:
The system enables self-service by automatically retrieving and applying relevant domain knowledge and mathematical constraints based on the analytics algorithm being developed. The formal knowledge representation allows the system to serve itself by autonomously accessing expert knowledge, reducing the need for experts to be continuously available for each development step.
2Reliability
If domain expert knowledge is manually integrated into analytics algorithms, then mathematical constraints and domain relationships are considered, but the process becomes highly dependent on expert availability and collaboration
Solution Approach 1:
The formal knowledge representation system serves as an intermediary that stores and manages domain expert knowledge independently. This allows the system to retrieve and apply domain constraints automatically without requiring ongoing expert involvement or collaboration, reducing dependency on expert availability while maintaining reliable domain constraint compliance.
Solution Approach 2:
Domain expert knowledge is captured and formalized in advance before algorithm development begins. The knowledge is pre-organized in a structured representation that can be immediately queried and applied during algorithm development, eliminating the need for real-time expert consultation and reducing operational dependency.
3Productivity
If formalized drive systems information representation is implemented, then data FAIRness is improved and analytics development is facilitated, but system complexity increases
Solution Approach 1:
The formal knowledge representation system is designed to serve multiple functions: it represents domain knowledge, stores mathematical constraints, facilitates data FAIRness, and supports automated algorithm development. By making the system multi-functional, the benefits are distributed across multiple areas, justifying the added complexity through enhanced productivity and capability in various domains.
Solution Approach 2:
The system transforms unstructured domain knowledge into structured formal representations by changing the parameters of information organization. This transformation from informal to formal representation enables automated processing and improves analytics development efficiency, with the complexity managed through standardized transformation protocols.
Data Source
AI summary
A method for facilitation of FAIR data in a domain of a drive system, drive product and/or drive application includes providing a formal description of one or more elements and/or of one or more interrelations of the one or more elements in the domain of the drive system, drive product and/or drive application.