All accepted papers can be found in the CEUR-WS Vol-3874.
1. On the pertinence of LLMs for ontology learning, (*** Best Paper ***)
by Marion Schaeffer, Matthias Sesboüé, Léa Charbonnier, Nicolas Delestre, Jean-Philippe Kotowicz and Cecilia Zanni-Merk.
2. Towards the automation of Knowledge Graph construction using Large Language Models,
by Vamsi Krishna Kommineni, Birgitta König-Ries and Sheeba Samuel.
3. Assessing SPARQL capabilities of Large Language Models,
by Lars-Peter Meyer, Johannes Frey, Felix Brei and Natanael Arndt.
4. Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs,
by Anoushka Harit, Zhongtian Sun, Jongmin Yu and Noura Al Moubayed.
5. Ontology Learning from Text: an Analysis on LLM Performance,
by Roos Bakker, Daan Di Scala and Maaike de Boer.
6. Accessing the Capabilities of KGs and LLMs in Mapping Indicators within Sustainability Reporting Standards,
by Yuchen Zhou, Xin Gu, Junsheng Ding, Sirou Chen and Alexander Perzylo.
7. Converting Fire Safety Regulations to SHACL Shapes Using Natural Language Processing,
by Alex Donkers and Ekaterina Petrova.
8. Ontology-based Dataset Discovery in the BUILDSPACE Data Management Platform,
by Iason Sotiropoulos, Ioannis Karvelas, Stamatia Rizou, Vangelis Marinakis and Edlira Vakaj.
9. Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach,
by Richard Wallace, Ravi Bajracharya, Jans Aasman and Craig Norvell.
10. A Proof of Concept in Automated Generation of Competency Questions Using Large Language Models and Knowledge Graphs,
by Dario Di Nuzzo, Edlira Vakaj, Hadeel Saadany, Eglantina Grishti2 and Nandana Mihindukulasooriya.
Presentation (PDF)