SemTech4STLD 2025
Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data 2025

Table of Contents

• Preface
  Summary: There were 9 papers submitted for peer-review to SemTech4STLD. Out of these, 7 papers were accepted after peer-review.

Regular Papers

• Evaluating LLMs for Named Entity Recognition in Scientific Domain with Fine-Tuning and Few-Shot Learning
  Davide Buscaldi, Danilo Dessì, Francesco Osborne, Davide Piras, Diego Reforgiato Recupero
• Taming Hallucinations: A Semantic Matching Evaluation Framework for LLM-Generated Ontologies
  Nadeen Fathallah, Steffen Staab, Alsayed Algergawy

Short & Poster Papers

• Benchmarking Large Language Models for Sustainable Development Goals Classification: Evaluating In-Context Learning and Fine-Tuning Strategies (short paper)
  Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Salatino, Luca Secchi
• Biomedical Entity Linking with Triple-aware Pre-Training (short paper)
  Xi Yan, Cedric Möller, Ricardo Usbeck
• Enabling Natural Language Access to BIM Models with AI and Knowledge Graphs (short paper)
  Andrea Ibba, Rubén Alonso, Diego Reforgiato Recupero
• Context-Aware Explanations: Leveraging Knowledge Graphs for Adaptive Explainability in Dynamic Environments (short poster paper)
  Erick Mendez Guzman, Rima Dessí, Alya Alshaami, Amna Alowais, Hamda Alhammadi, Nada Alzarooni, Weam N.A Jarbou, Zarak Khan
• Leveraging Knowledge Graphs and Generative AI for Augmented Research Paper Retrieval (short poster paper)
  Rima Dessí, Erick Mendez Guzman, Alya Alshaami, Amna Alowais, Hamda Alhammadi, Nada Alzarooni, Weam N.A Jarbou, Zarak Khan