Ontology Design Patterns for Knowledge Representation in Materials Science

In Materials Science and Engineering (MSE), effective knowledge representation plays a crucial role in facilitating data interoperability, enabling collaboration, and supporting decision-making processes. Ontology design patterns (ODPs) provide a systematic and reusable solution to enhance knowledge representation by capturing domain-specific concepts, relationships, and constraints. In collaboration with domain experts in Materials Science, we have gained valuable insights into domain-specific modeling problems and challenges such as heterogeneity of data, the complexity of domain knowledge, and the gap between domain and ontology experts further complicate the representation process.   This research addresses these challenges through the following research questions: RQ 1 focuses on the reasons behind the development of ODPs in MSE, as well as investigates the availability of existing ODPs for reuse in the domain. RQ 2 investigates the development of ODPs to address specific modeling problems in MSE. RQ 3 explores why ODPs effectively address the challenges faced by MSE experts. Overall, this research contributes to advancing knowledge representation in MSE by leveraging ODPs, facilitating collaboration between MSE and ontology experts, and promoting effective data interoperability and decision-making processes.

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Recommended citation: Norouzi, Ebrahim (2024). “Ontology Design Patterns for Knowledge Representation in Materials Science”. Zenodo (Poster). https://doi.org/10.5281/zenodo.12189132