|Main Task Area: TA-OMS |
Other related Task Areas: TA-WSD
|Possible connections within NFDI:|
|Material/Data: This depends on the selected expert scenarios, currently, including Mat-o-Lab’s Use Cases on Steel, Copper and fiber-composites|
|Main Success Scenario: MSE-domain experts and interdisciplinary contributors from informatics and information science can jointly work on digitizing scientific workflows and develop their semantic representations.|
|Added value for the MatWerk community: Known and teachable processes for transforming expert domain knowledge into formalized structures as well as the resulting formalized workflows themselves|
- Basis Ontology advisory
- Ontology development support
- Multi-scale bridging ontologies
- Software Interfaces for accessing workflow data semantically
- Implementation of DME for applying the representation
Related Participant Projects
- PP08 – Cluster of Excellence Living, Adaptive and Energy-autonomous Materials Systems (EXC 2193-livMatS)
- PP12 Data Science in MSE education, qualification and life-long learning (EUSMAT)
- PP20 Mat-o-Lab – Materials-open-Laboratory
This Infrastructure Use Case expresses the demand to extract implicit process and theory knowledge from experts to represent their domain-specific expertise in a formalized manner. Although this procedure depends on exemplary material systems to conduct this process, its theory is detached from concrete data.
The IUC requires ways of formalizing such expert knowledge by applying schemas based on other model contexts, to develop didactic frameworks that allow the structured formalization of the needed information and to have a working infrastructure at one’s disposal to implement and query the formalized knowledge expression.
The IUC works with dedicated PPs that tackle the challenge of formalization from an interdisciplinary, exemplary and collaborative point of view. In doing so, it vastly supports NFDI-MatWerk’s targets in the context of the FAIR-principles, since structured expert knowledge leads to standards, which then leads to interoperability.