A Multi-Agent System for Semantic Mapping of Relational Data to Knowledge Graphs

<p><strong>Proceedings of the 1st GOBLIN Workshop on Knowledge Graph Technologies</strong><br><em>Leipzig, Germany — June 12, 2025</em></p> <p>The 1st GOBLIN Workshop on Knowledge Graph Technologies was held in Leipzig, Germany, on June 12, 2025, as part of the activities of the GOBLIN COST Action.<br>The workshop brought together researchers, practitioners, and stakeholders to discuss advances in Knowledge Graph technologies, applications, and open challenges. See the full program of the workshop at <a href="http://dbpedia.org/events/goblin25-workshop/">http://dbpedia.org/events/goblin25-workshop/</a>.</p> <p>This record serves as the official proceedings of the workshop. All accepted papers are published individually in the <a href="https://zenodo.org/communities/goblin25-workshop/">1st GOBLIN Workshop community</a> on Zenodo and are listed below with their Digital Object Identifiers (DOIs).</p> <p> </p> <h3>Accepted Papers</h3> <ol> <li> <p><strong>A Multi-Agent System for Semantic Mapping of Relational Data to Knowledge Graphs</strong><br><em>Milena Trajanoska, Riste Stojanov and Dimitar Trajanov</em><br>DOI: 10.5281/zenodo.16911414</p> </li> <li><strong>A Visual Notation for Web-Based Ontology Modeling</strong><br><em>Julija Ovcinnikova and Karlis Cerans</em><br>DOI: 10.5281/zenodo.16911656</li> <li> <p><strong>Bridging the Gap Between Natural Language and Semantic Web: A Text-to-SPARQL System</strong><br><em>Dimitar Pavlovski and Riste Stojanov</em><br>DOI: 10.5281/zenodo.16912011</p> </li> <li> <p><strong>An Event-centered Knowledge Graph for Bulgaria</strong><br><em>Kiril Simov, Nikolay Paev and Petya Osenova</em><br>DOI: 10.5281/zenodo.16912113</p> </li> <li> <p><strong>AI Agent-Driven Framework for Automated Product Knowledge Graph</strong> <strong>Construction in E-Commerce</strong><br><em>Dimitar Peshevski, Riste Stojanov and Dimitar Trajanov</em><br>DOI: 10.5281/zenodo.16912163</p> </li> <li> <p><strong>Towards Generating Synthetic EHR Knowledge Graphs — a Probabilistic Approach</strong><br><em>Milos Jovanovik, Eva Milenkova, Maxime Jakubowski and Katja Hose</em><br>DOI: 10.5281/zenodo.16912250</p> </li> <li> <p><strong>Prompting or Fine-tuning? Evaluating Relation Classification in Portuguese for Knowledge Graph Construction</strong><br><em>Tomas Pinto, Bruno Ferreira, Catarina Silva and Hugo Goncalo Oliveira</em><br>DOI: 10.5281/zenodo.16912342</p> </li> <li> <p><strong>LLM-Powered Knowledge Graphs vs Topic Modelling for Sustainable Development Analytics</strong><br><em>Buket Fildisi, Edlira Vakaj, Amna Dridi and Atif Azad</em><br>DOI: 10.5281/zenodo.16912396</p> </li> <li> <p><strong>From LLM Generation to Knowledge Representation: Creating and Structuring the GeminiKnowledge-sr QA Dataset for Serbian</strong><br><em>Ranka Stankovic, Nikola Jankovic, Jovana Radenovic and Milica Ikonic Nesic</em><br>DOI: 10.5281/zenodo.16912469</p> </li> <li> <p><strong>The CK25 Corporate Knowledge Reference Dataset for Benchmarking Text 2 SPARQL Question Answering Approaches</strong><br><em>Sebastian Tramp and Rene Pietzsch</em><br>DOI: 10.5281/zenodo.16912605</p> </li> <li> <p><strong>Digitizing and Structuring Early Marine Biodiversity Records: A GraphRAG-</strong><strong>Based Methodology</strong><br><em>Gustavo Nunez, Marcos Zarate, Darıo Ceballos and Pablo Fillottrani</em><br>DOI: 10.5281/zenodo.16912811</p> </li> <li> <p><strong>Smart Learning Applications with the combination of the Open Research Knowledge Graph and Teaching Knowledge Graphs</strong><br><em>Eleni Ilkou and Soren Auer</em><br>DOI: 10.5281/zenodo.16912917</p> </li> <li> <p><strong>Towards personal data store-based retrieval augmented generation in mobile computing</strong><br>Zachary Grider and Alexander Nelson<br>DOI: 10.5281/zenodo.16913027</p> </li> <li><strong>Can Personal KG-based RAG Empower Patients?</strong><br><em>Mariana Dias and Carla Teixeira Lopes</em><br>DOI: 10.5281/zenodo.16913140</li> </ol> <p> </p>