5 papers
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…