most citedThe landscape of ontologies in materials science and engineering: A survey and evaluation

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2025

AI4DiTraRe: Building the BFO-Compliant Chemotion Knowledge Graph

Ebrahim Norouzi, Nicole Jung, Anna M. Jacyszyn +2

Chemistry is an example of a discipline where the advancements of technology have led to multi-level and often tangled and tricky processes ongoing in the lab. The repeatedly compl…

cs.AI2025

Ontologies in Motion: A BFO-Based Approach to Knowledge Graph Construction for Motor Performance Research Data in Sports Science

Sarah Rebecca Ondraszek, Jörg Waitelonis, Katja Keller +3

An essential component for evaluating and comparing physical and cognitive capabilities between populations is the testing of various factors related to human performance. As a cor…

cs.IR2025

Semantic Representation of Processes with Ontology Design Patterns

Ebrahim Norouzi, Sven Hertling, Jörg Waitelonis +1

The representation of workflows and processes is essential in materials science engineering, where experimental and computational reproducibility depend on structured and semantica…

cs.AI2024

NFDI4DSO: Towards a BFO Compliant Ontology for Data Science

Genet Asefa Gesese, Jörg Waitelonis, Zongxiong Chen +2

The NFDI4DataScience (NFDI4DS) project aims to enhance the accessibility and interoperability of research data within Data Science (DS) and Artificial Intelligence (AI) by connecti…

cs.IR20245 cited

The landscape of ontologies in materials science and engineering: A survey and evaluation

Ebrahim Norouzi, Jörg Waitelonis, Harald Sack

Ontologies are widely used in materials science to describe experiments, processes, material properties, and experimental and computational workflows. Numerous online platforms are…