Speaker
Description
Efforts in materials science face challenges due to the heterogeneity and complexity of data sources, disparate data formats, and the need for standardized metadata. The NFDI-MatWerk ontology (MWO) [1] and the Materials Science and Engineering Knowledge Graph (MSE-KG) [2] aim to address these challenges by providing a unified framework for representing and integrating diverse data types and resources within the field. The MWO ontology has been developed as an extension of the NFDICore ontology [3, 4]. The NFDIcore ontology serves as a mid-level ontology, promoting interoperability among NFDI consortia by representing metadata about resources. It achieves this through mappings to standards like the Basic Formal Ontology (BFO), enhancing data harmonization and accessibility across the NFDI landscape. These ontologies serve the goal of facilitating seamless data interoperability, knowledge discovery, and collaboration across diverse materials science research domains. The MSE-KG v1.0 captures information on researchers, projects, institutions, software, workflows, instruments, publications, and datasets. In transitioning to the MSE-KG v2.0, integration with the research data graph presents challenges such as data interoperability, ontology alignment, and semantic integration.
Collaboration with domain experts is vital in overcoming these challenges, ensuring the seamless integration of domain-specific knowledge into the knowledge graph. The establishment of the NFDI-MatWerk linked open data (LOD) Working Group facilitates this collaboration, providing a platform for experts to contribute, share experiences, and collectively tackle the intricacies of LOD implementation in materials science. This collaborative effort is essential in shaping the future of data representation and accessibility in the MSE domain, ultimately maximizing the impact of scientific results and advancing research sustainability.
[1] http://purls.helmholtz-metadaten.de/mwo
[2] https://demo.fiz-karlsruhe.de/matwerk/
[3] https://doi.org/10.4126/FRL01-006474028
[4] https://github.com/ISE-FIZKarlsruhe/nfdicore