5 citations · 5 across the 8 of their papers we have counts for
9 papers
OntoInk: Interactive Ontology Visualization, Validation, and Reasoning
Ebrahim Norouzi, Jörg Waitelonis, Harald Sack
Ontology documentation, visualization, and validation are usually carried out with separate tools. This split workflow slows down development and makes knowledge transfer harder. W…
bikiDATA: A Python Library to Query and Explore Large-Scale RDF Datasets
Etienne Posthumus, Sven Hertling, Dilek Yargan +1
While knowledge graphs offer unparalleled data flexibility, the semantic gap between RDF triples and the native objects used by software engineers remains a significant barrier to…
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…
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…
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…
ConExion: Concept Extraction with Large Language Models
Ebrahim Norouzi, Sven Hertling, Harald Sack
In this paper, an approach for concept extraction from documents using pre-trained large language models (LLMs) is presented. Compared with conventional methods that extract keyphr…
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…
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…
OAEI Machine Learning Dataset for Online Model Generation
Sven Hertling, Ebrahim Norouzi, Harald Sack
Ontology and knowledge graph matching systems are evaluated annually by the Ontology Alignment Evaluation Initiative (OAEI). More and more systems use machine learning-based approa…