:: OM-2025 ::

OM - 2025

The 20th International Workshop on Ontology Matching

collocated with the 24th International Semantic Web Conference ISWC-2025
November 2nd, 2025, Nara, Japan

Objectives

Call for papers

Submissions

Accepted papers

Program

Organization

OM-2024

	Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful technique 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. The workshop has three goals: To bring together leaders from academia, industry and user institutions to assess how academic advances are addressing real-world requirements. The workshop will strive to improve academic awareness of industrial and final user needs, and therefore, direct research towards those needs. Simultaneously, the workshop will serve to inform industry and user representatives about existing research efforts that may meet their requirements. The workshop will also investigate how the ontology matching technology is going to evolve, especially with respect to data interlinking, process matching, web table and knowledge graph matching tasks. To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2025 campaign. To examine similarities and differences from other, old, new and emerging, techniques and usages, such as process matching, web table matching or knowledge embeddings.

	Audience: The workshop encourages participation from academia, industry and user institutions with the emphasis on theoretical and practical aspects of ontology matching. On the one side, we expect representatives from industry and user organizations to present business cases and their requirements for ontology matching. On the other side, we expect academic participants to present their approaches vis-a-vis those requirements. The workshop provides an informal setting for researchers and practitioners from different related initiatives to meet and benefit from each other's work and requirements. This year, in sync with the main conference, we encourage submissions specifically devoted to: (i) datasets, benchmarks, software tools/services, APIs, methodologies, protocols and metrics (not necessarily related to OAEI), and (ii) application of ontology and instance matching technology in a specific domain and assessment of its usefulness to the final users. Topics of interest include but are not limited to: Business and use cases for matching (e.g., big, open, closed data) Requirements to matching from specific application scenarios (e.g., public sector) Application of matching techniques in real-world scenarios (e.g., in cloud, with mobile apps) Formal foundations and frameworks for matching Novel matching methods, including link prediction, ontology-based data access Matching and knowledge graphs Matching and deep learning Matching and embeddings Matching and big data Matching and linked data Instance matching, data interlinking and relations between them Privacy-aware matching Process model matching Large-scale and efficient matching techniques Matcher selection, combination and tuning User involvement (including both technical and organizational aspects) Explanations in matching Social and collaborative matching Uncertainty in matching Expressive alignments Reasoning with alignments Alignment coherence and debugging Alignment management FAIR (Findable, Accessible, Interoperable and Reusable) alignments Matching for traditional applications (e.g., data science) Matching for emerging applications (e.g., web tables, knowledge graphs)

	Contributions to the workshop can be made in terms of technical papers and posters/statements of interest addressing different issues of ontology matching as well as participating in the OAEI 2025 campaign. Long technical papers should be of max. 12 pages. Short technical papers should be of max. 6 pages. Posters/statements of interest should not exceed 3 pages. References and appendix are excluded from the page limits and the submissions are single blind. All contributions have to be prepared using the CEUR-ART, 1-column style. Overleaf page for LaTeX users is available at https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw, while offline version with the style files is available from http://ceur-ws.org/Vol-XXX/CEURART.zip. Submissoins should be uploaded in PDF format through the workshop submission site at: https://www.easychair.org/conferences/?conf=om2025 Contributors to the OAEI 2025 campaign have to follow the campaign conditions and schedule at https://oaei.ontologymatching.org/2025/. Important dates (all AoE): August 2nd, 2025: Deadline for the submission of papers August 29th, 2025: Deadline for the notification of acceptance/rejection September 26th, 2025: Workshop camera ready copy submission November 2nd or 3rd, 2025: OM-2025, Nara Prefectural Covention Center, Nara, Japan. Contributions will be refereed by the Program Committee. Accepted papers will be published in the workshop proceedings as a volume of CEUR-WS as well as indexed on DBLP. By submitting a paper, the authors accept the CEUR-WS and DBLP publishing rules (CC-BY 4.0 license model).

	Long Technical Papers (20 min presentation + 5 min Q&A): Pretranslating SKOS Thesauri for Better Matching Performance Felix Kraus, Nicolas Blumenröhr, Germaine Götzelmann, Danah Tonne and Achim Streit From Matching to Retrieval: A New Role for LLMs in Ontology Alignment Wenxin Hu and Ryutaro Ichise GenOM: Ontology Matching with Description Generation and Large Language Model Yiping Song, Jiaoyan Chen and Renate Schmidt OntoAligner Meets Knowledge Graph Embedding Aligners Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer and Mahsa Sanaei Efficient Uncertainty Estimation for LLM-based Entity Linking in Tabular Data Carlo Bono, Federico Belotti and Matteo Palmonari Short Papers (15 min presentation + 5 min Q&A): Complex Ontology Alignment using LLMs: A Case Study Adrita Barua, Reza Amini, Sanaz Saki Norouzi, Reihaneh Amini and Pascal Hitzler Adaptive and Multi-Source Entity Matching for Name Standardization of Astronomical Observation Facilities Liza Fretel, Baptiste Cecconi and Laura Debisschop Ontology Alignment Validation using LLM and KG Abdoulaye Diallo, Claudia D'Amato and Mouhamadou Thiam Poster Papers (15 min presentation + 5 min Q&A): 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


	Sunday, November 2 - Room tbd
09:00-09:20	Welcome and workshop overview *Organizers*
09:20-10:30	Methods and Applications - I
09:20-09:45	From Matching to Retrieval: A New Role for LLMs in Ontology Alignment (long) *Wenxin Hu and Ryutaro Ichise*
09:45-10:10	OntoAligner Meets Knowledge Graph Embedding Aligners (long) *Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer and Mahsa Sanaei*
10:10-10:30	Development and outlook of the circular economy track at the ontology alignment evaluation initiative (poster) *Huanyu Li, Jana Vataščinová, Ondřej Zamazal, Ying Li, Patrick Lambrix and Eva Blomqvist*
10:30-11:00	Coffee break
11:00-12:30	Methods and Applications - II
11:00-11:25	Pretranslating SKOS Thesauri for Better Matching Performance (long) *Felix Kraus, Nicolas Blumenröhr, Germaine Götzelmann, Danah Tonne and Achim Streit*
11:25-11:50	GenOM: Ontology Matching with Description Generation and Large Language Model (long) *Yiping Song, Jiaoyan Chen and Renate Schmidt*
11:50-12:10	Ontology Alignment Validation using LLM and KG (short) *Abdoulaye Diallo, Claudia D'Amato and Mouhamadou Thiam*
12:10-12:30	Adaptive and Multi-Source Entity Matching for Name Standardization of Astronomical Observation Facilities (short) *Liza Fretel, Baptiste Cecconi and Laura Debisschop*
12:30-13:30	Lunch
13:30-14:40	Keynote From Ontology Matching to Knowledge Graph Alignment: Towards Semantic Interoperability in the Age of AI by *Ryutaro Ichise* Institute of Science Tokyo
	Bio: Dr. Ryutaro Ichise received his Ph.D. in Computer Science from the Tokyo Institute of Technology in 2000 and was a Visiting Scholar at Stanford University from 2001 to 2002. He joined the National Institute of Informatics, Japan, in 2000, serving as Associate Professor from 2007 to 2022. Since 2022, he has been Professor in the Department of Industrial Engineering and Economics, School of Engineering, Institute of Science Tokyo (formerly Tokyo Institute of Technology). Prof. Ichise's research interests include machine learning (e.g., relational learning, learning actions from behavioral traces), the semantic web (e.g., semantic integration, ontology matching), and data mining for domains such as publication and medical data.
	Abstract: Ontology matching has long been a central theme in achieving semantic interoperability across heterogeneous information systems. Early studies focused on catalog and schema matching to reconcile structured data sources. Machine learning techniques then brought automation and adaptability to matching tasks. With the emergence of the Semantic Web, ontology matching evolved to include instance matching, supported by Linked Data and knowledge interlinking. In recent years, the boundary between structured ontologies and unstructured data has blurred. Knowledge graphs now incorporate information extracted from text, tables, and other multimodal sources. At the same time, large language models (LLMs) have opened new possibilities for semantic reasoning and alignment, though they also raise challenges regarding consistency, and control. This talk will trace the evolution of ontology matching from its early stages to contemporary knowledge graph alignment, discuss methodological and conceptual milestones, and explore how recent AI techniques involving LLMs can reshape the future of semantic interoperability.
14:40-15:00	Complex Ontology Alignment using LLMs: A Case Study (short) *Adrita Barua, Reza Amini, Sanaz Saki Norouzi, Reihaneh Amini and Pascal Hitzler*
15:00-15:30	Coffee break
15:30-17:00	Methods and Applications - III, OAEI-2025 campaign, and the SemTab challenge
15:30-15:55	Efficient Uncertainty Estimation for LLM-based Entity Linking in Tabular Data (long) *Carlo Bono, Federico Belotti and Matteo Palmonari*
15:55-16:15	Summary of the OAEI 2025 campaign and the SemTab challenge *Organizers*
16:15-16:30	System presentation - Agent-OM *Zhangcheng Qiang, Weiqing Wang and Kerry Taylor*
16:30-16:45	System presentation - TIM *Alexander Becker*
16:45-17:00	Discussion and wrap-up
	Organizing Committee: Ernesto Jiménez-Ruiz City St George's, University of London, UK Oktie Hassanzadeh IBM Research, USA Cássia Trojahn IRIT, France Sven Hertling (Main contact) University of Mannheim, Germany and FIZ Karlsruhe, Germany Huanyu Li (Main contact) Linköping University, Sweden Pavel Shvaiko Trentino Digitale S.p.A., Italy Jérôme Euzenat INRIA & Univ. Grenoble Alpes, France Program Committee: Alsayed Algergawy, Jena University, Germany Manuel Atencia, Universidad de Málaga, Spain Jiaoyan Chen, University of Oxford, UK Jérôme David, University Grenoble Alpes & INRIA, France Gayo Diallo, University of Bordeaux, France Daniel Faria, INESC-ID&IST, University of Lisbon, Portugal Alfio Ferrara, University of Milan, Italy Marko Gulić, University of Rijeka, Croatia Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Naouel Karam, Fraunhofer, Germany Prodromos Kolyvakis, EPFL, Switzerland Patrick Lambrix, Linköpings Universitet, Sweden Oliver Lehmberg, University of Mannheim, Germany Fiona McNeill, University of Edinburgh, UK Hoa Ngo, CSIRO, Australia George Papadakis, University of Athens, Greece Catia Pesquita, University of Lisbon, Portugal 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, TigerGraph, USA Acknowledgements: We appreciate support from Trentino Digitale, the EU SEALS project, as well as the Pistoia Alliance Ontologies Mapping project and IBM Research.