Document Type

Poster

Publication Date

8-2024

Abstract

Ontologies have gained popularity in the scientific community as a means of standardizing concepts and terminology used in metadata across different institutions to facilitate data comprehension, sharing, and reuse. Despite the existence of frameworks and guidelines for building ontologies, the processes and standards used to develop ontologies still differ significantly, particularly in Materials Science. Our goal with the MDS-Onto Framework is to provide a unified and automated system for ontology development in the Materials and Data Sciences. This framework offers recommendations on where to publish ontologies online, how to best integrate them within the semantic web, and which formats to store and share ontologies. The framework aims to enhance the findability and interoperability of these ontologies. One critical component of the MDS-Onto Framework is the bilingual FAIRmaterials Python and R package, a practical and user-friendly tool for scientists to create and visualize ontologies effectively. We also present two domain ontologies created with our framework, X-ray diffraction and Photovoltaics(PV), to demonstrate the practical application and steps for implementing materials in ontology creation and merging. These cases highlight our framework's feasibility and efficiency.

Keywords

ontology, FAIR, MDS-Onto, knowledge graph

Publication Title

Data Science in Engineering and Life Sciences Symposium

Rights

© 2024 The Author(s).

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Department/Center

Materials Science & Engineering

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