The 18th International Workshop on Ontology Matching

collocated with the 22nd International Semantic Web Conference ISWC-2023
November 7th, 2023, Athens, Greece

Download OM-2023 proceedings: CEUR-WS Vol-3591

Objectives Call for papers Submissions Accepted papers Program Organization OM-2022


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) 2023 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.

Call for papers


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
  • 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 2023 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. All contributions have to be prepared using the CEUR-ART, 1-column style. Overleaf page for LaTeX users is available at, while offline version with the style files is available from Submissoins should be uploaded in PDF format (no later than July 31st, 2023) through the workshop submission site at:

Contributors to the OAEI 2023 campaign have to follow the campaign conditions and schedule at

Important dates:

  • July 31st, 2023: CLOSED
    Deadline for the submission of papers
  • August 28th, 2023: CLOSED
    Deadline for the notification of acceptance/rejection
  • September 4th, 2023: CLOSED
    Workshop camera ready copy submission
  • September 8, 2023: CLOSED
    Early ISWC'23 registration deadline
  • November 7th, 2023:
    OM-2023, The Megaron Athens International Conference Centre (M.A.I.C.C.), Athens, Greece

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).

Accepted Papers

Long Technical Papers:

Short Technical Papers:

OAEI Papers:

Statements of interest:

Program Top
  8:50-9:20 Poster set-up
  9:20-9:30 Welcome and workshop overview (Room MC3.2)
 9:30-10:30 Keynote address The five generations of Entity Resolution by George Papadakis National and Kapodistrian University of Athens, Greece
Abstract: Entity Resolution (ER) constitutes a core data integration task that has attracted a bulk of works on improving its effectiveness and time efficiency. We can distinguish them into five main generations. The first one targeted Veracity in the context of structured (relational) data with a clean schema. The second generation extended its focus to cover Volume, as well, leveraging multi-core or massive (MapReduce) parallelization to process large-scale datasets. The third generation addressed the additional challenge of Variety, applying ER to voluminous, noisy, semi-structured, and highly heterogeneous data from the Semantic Web. The fourth generation also tackled Velocity so as to process data collections of a continuously increasing volume. The latest works, though, belong to the fifth dimension, which heavily relies on external knowledge to address all four Vs. This knowledge typically comes in the form of pre-trained language models, which provide features of high dimensionality that can be combined with deep learning for high effectiveness. More recently, methods based on foundational models achieve an equally high effectiveness in an unsupervised manner, thanks to the much larger corpora of external knowledge they encapsulate. In this talk, we will provide an overview of these ER generations, emphasizing the latest developments in the fifth one.
Bio: George Papadakis is the Head of EU Proposal Writing Section at the R&D Department of PPC SA as well as a research fellow at the Department of Informatics and Telecommunications of the University of Athens (UoA). He received his PhD degree in Computer Science in 2013 from the Leibniz University of Hanover and his diploma in Electrical and Computer Engineering in 2007 from the National Technical University of Athens (NTUA). In the past, he worked at the Athena Research Center, the NTUA, the L3S Research Center and the NCSR "Demokritos". His research focuses on Data Integration in the context of large-scale, heterogeneous data and on web data mining, in general. He is currently involved in Horizon Europe project STELAR, which aims to develop an open-source knowledge lake management system.

 10:30-11:30 Coffee break / Poster session
 11:30-13:10 Methods and Applications - I (long papers)
 11:30-11:50 Truveta mapper: a zero-shot ontology alignment framework
Mariyam Amir, Murchana Baruah, Mahsa Eslamialishah, Sina Ehsani, Alireza Bahramali, Sadra Naddaf-Sh, Saman Zarandioon
 11:50-12:10 Matching table metadata with business glossaries using large language models
Elita Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz
 12:10-12:30 The role of ontology matching in ontology network development
Sheeba Samuel, Birgitta König-Ries, Alsayed Algergawy
 12:30-12:50 Evaluation toolkit for API and RDF alignment
Tobias Zeimetz, Maurice Büsching, Fabian Birringer, Christoph Otter, Daniel Zeiler, Ralf Schenkel
 12:50-13:10 Contextualized structural self-supervised learning for ontology matching
Zhu Wang
 13:10-14:00 Lunch (Skalkotas Foyer)
 14:00-15:30 Methods and Applications - II (short papers)
 14:00-14:15 Conversational ontology alignment with ChatGPT
Sanaz Saki Norouzi, Mohammad Saeid Mahdavinejad, Pascal Hitzler
 14:15-14:30 Ontology matching using textual class descriptions
Yiwen Peng, Mehwish Alam, Thomas Bonald
 14:30-14:45 Combining word and sentence embeddings with alignment extension for property matching
Guilherme Sousa, Rinaldo Lima, Cássia Trojahn
 14:45-15:00 Towards a methodology for the semi-automatic generation of scientific knowledge graphs from XML documents
George Hannah, Terry Payne, Valentina Tamma, Andrew Mitchell, Ellen Piercy, Boris Konev
 15:00-15:15 Repairing networks of ontologies using weakening and completing
Ying Li, Patrick Lambrix
 15:15-15:30 A simple standard for ontological mappings 2023: updates of data model and outlook
Nicolas Matentzoglu, Ian Braun, Anita R. Caron, Damien Goutte-Gattat, Benjamin M. Gyori, Nomi L. Harris, Emily Hartley, Harshad B. Hegde, Sven Hertling, Charles Tapley Hoyt, HyeongSik Kim, Huanyu Li, James McLaughlin, Cássia Trojahn, Nicole Vasilevsky, Christopher J. Mungall
 15:30-16:00 Coffee break
 16:00-17:15 OAEI-2023 campaign and the SemTab challenge
 16:00-16:30 Summary of the OAEI 2023 campaign and the SemTab challenge
 16:30-16:45 GraphMatcher system presentation
Sefika Efeoglu
 16:45-17:00 OLaLa results for OAEI 2023
Sven Hertling, Heiko Paulheim
 17:00-17:15 Fine-tuning BERT for Ontology Alignment
Yuan He
 17:15-17:45 Discussion and wrap-up

Organizing Committee:

  • Pavel Shvaiko (Main contact)
    Trentino Digitale, Italy
    E-mail: pavel [dot] shvaiko [at] tndigit [dot] it
  • Jérôme Euzenat
    INRIA & Univ. Grenoble Alpes, France
  • Ernesto Jiménez-Ruiz
    City, University of London, UK & SIRIUS, University of Oslo, Norway
  • Oktie Hassanzadeh
    IBM Research, USA
  • Cássia Trojahn
    IRIT, 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


We appreciate support from Trentino Digitale, the EU SEALS project, as well as the Pistoia Alliance Ontologies Mapping project and IBM Research.

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