Proceedings of the 20th International Workshop on Ontology Matching

Abstract

Ontology matching1 is a key interoperability enabler for the semantic web, as well as a useful tactic in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data interlinking, query answering or navigation over knowledge graphs. Thus, matching ontologies enables the knowledge and data expressed with the matched ontologies to interoperate.

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Acknowledgments. We thank all members of the program committee, authors and local organizers for their eforts. We appreciate the support received in the past from Trentino Digitale 4, the EU SEALS (Semantic Evaluation at Large Scale) project, the EU HOBBIT (Holistic Benchmarking of Big Linked Data) project, the MELT (Matching EvaLuation Toolkit) project5, the Pistoia Alliance Ontologies Mapping project6 and SIRIUS Centre for Scalable Data Access7.

Ernesto Jiménez-Ruiz

Oktie Hassanzadeh

Cássia Trojahn

Sven Hertling

Huanyu Li

Pavel Shvaiko

Jérôme Euzenat

December 2025

Organizing Committee

Program Committee

Henry Rosales-Méndez, University of Chile, Chile

Booma Sowkarthiga, Microsoft, USA

Kavitha Srinivas, IBM, USA

Giorgos Stoilos, University of Oxford, UK

Valentina Tamma,University of Liverpool, UK

Ludger van Elst, DFKI, Germany

Xingsi Xue, Fujian University of Technology, China

Ondřej Zamazal, Prague University of Economics, Czech Republic

Songmao Zhang, Chinese Academy of Sciences, China

Lu Zhou, Apple Inc., USA

Pretranslating SKOS Thesauri for Better Matching Performance

Felix Kraus, Nicolas Blumenröhr, Danah Tonne and Achim Streit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

GenOM: Ontology Matching with Description Generation and Large Language Model

Yiping Song, Jiaoyan Chen and Renate Schmidt . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

OntoAligner Meets Knowledge Graph Embedding Aligners

Hamed Babaei Giglou, Jennifer D’Souza, Sören Auer and Mahsa Sanaei . . . . . . . . . . . . . . . . . . . . . . . . . . . 39

Eficient Uncertainty Estimation for LLM-based Entity Linking in Tabular Data

Carlo Bono, Federico Belotti and Matteo Palmonari . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Short Papers

Complex Ontology Alignment using LLMs: A Case Study

Adrita Barua, Reza Amini, Sanaz Saki Norouzi, Reihaneh Amini and Pascal Hitzler . . . . . . . . . . . . . . . . 74 Adaptive and Multi-Source Entity Matching for Name Standardization of Astronomical Observation

Facilities

Liza Fretel, Baptiste Cecconi and Laura Debisschop . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82

Ontology Alignment Validation using LLM and KG

Abdoulaye Diallo, Claudia D’Amato and Mouhamadou Thiam . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 Poster Paper Development and Outlook of the Circular Economy Track at the Ontology Alignment Evaluation

Initiative

Huanyu Li, Jana Vataščinová, Ondřej Zamazal, Ying Li, Patrick Lambrix and Eva Blomqvist . . . . . . 101 OAEI Papers

Results of the Ontology Alignment Evaluation Initiative 2025

Mina Abd Nikooie Pour, Eva Blomqvist, Pedro Giesteira Cotovio, Adrien Coulet, Lucas Ferraz, Sven Hertling, Sarika Jain, Ernesto Jiménez-Ruiz, Felix Kraus, Patrick Lambrix, Huanyu Li, Ying Li, Xianhao Liu, Pierre Monnin, Heiko Paulheim, Catia Pesquita, Abhisek Sharma, Pavel Shvaiko, Marta Silva, Guilherme Sousa, Cássia Trojahn, Jana Vataščinová, Beyza Yaman, Ondřej Zamazal and Lu Zhou . . . . . . . . . . . . . . . . . . 105

Results of OWL2Vec4OA in the OAEI 2025

Sevinj Teymurova, Ernesto Jiménez-Ruiz and Tillman Weyde . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140

MDMapper Results for OAEI 2025

Xianhao Liu, Michael R. Hansen and Jesper Grode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149

Results of CMatch in OAEI 2025

Guilherme Sousa, Rinaldo Lima and Cássia Trojahn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153

ALIN Results for OAEI 2025

Jomar da Silva, Kate Revoredo, Fernanda Araujo Baião and Cabral Lima . . . . . . . . . . . . . . . . . . . . . . . . . 159

TIM Results for OAEI 2025

Alexander Becker, Axel-Cyrille Ngonga Ngomo and Mohamed Ahmed Sherif . . . . . . . . . . . . . . . . . . . . . 166

DRAL-OA: Results for OAEI 2025

Adishesh Gonibeed Ravishankar, Mehrnoosh Zaefi and Srividya Bansal . . . . . . . . . . . . . . . . . . . . . . . . . . 172

LogMap Family welcomes LogMapLLM in the OAEI 2025

Ernesto Jiménez-Ruiz, Sviatoslav Lushnei, Dmytro Shumskyi, Severyn Shykula

and Artur d’Avila Garcez . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178

BioSTransMatch Results @ OAEI 2025

Safaa Menad, Saïd Abdeddaïm and Lina F. Soualmia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182

Results for BioGITOM in OAEI 2025

Samira Oulefki, Lamia Berkani and Ladjel Bellatreche

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187

Matcha results in OAEI 2025

Marta C. Silva, Daniel Faria, Pedro Cotovio, Lucas Ferraz, Laura Balbi and Catia Pesquita . . . . . . . . . 194

Agent-OM Results for OAEI 2025

Zhangcheng Qiang, Weiqing Wang and Kerry Taylor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202

DogMa results for OAEI 2025

Péter Kardos, Máté Vass, Miklós Krész and Richárd Farkas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211

Results of SemTab 2025

Oktie Hassanzadeh, Marco Cremaschi, Fabio D’Adda, Fidel Jiomekong Azanzi, Jean Petit BIKIM and Ernesto Jiménez-Ruiz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216

LLM-Driven Retrieval, Debate, and Verification for Robust Table‐to‐Knowledge‐Graph Matching

Koby Bar and Tomer Sagi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 Cell Entity Annotation for SemTab 2025 MammoTab via Iterative Refinement with Transposed Contexts and Unsupervised Scoring Yuuki Tachioka and Yasunori Terao . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229

Knowledge Graph Entity Linking via Interactive Reasoning and Exploration with GRASP

Sebastian Walter and Hannah Bast . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242

References