5 citations · 5 across the 7 of their papers we have counts for
8 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…
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
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…
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…
Semantic Web and Creative AI -- A Technical Report from ISWS 2023
Raia Abu Ahmad, Reham Alharbi, Roberto Barile +74
The International Semantic Web Research School (ISWS) is a week-long intensive program designed to immerse participants in the field. This document reports a collaborative effort p…
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…