Proceedings of the ISWC Workshop Pavel Shvaiko 0 Trentino Digitale SpA 0 Italy 0 Oktie Hassanzadeh 0 IBM Research 0 Ca´ssia Trojahn 0 France 0 Alsayed Algergawy 0 Jena University 0 Germany Manuel Atencia 0 Universidad de Ma´laga 0 Spain Jiaoyan Chen 0 University of Oxford 0 UK Je´ro 0 me David 0 University Grenoble Alpes 0 INRIA 0 France Gayo Diallo 0 University of Bordeaux 0 France Daniel Faria 0 INESC-ID 0 University of Lisbon 0 Portugal Alo Ferrara 0 University of Milan 0 Italy Marko Gulic´ 0 University of Rijeka 0 Croatia Wei Hu 0 Nanjing University 0 China Ryutaro Ichise 0 National Institute of Informatics 0 Japan Antoine Isaac 0 Vrije Universiteit Amsterdam 0 Europeana 0 Netherlands Naouel Karam 0 Fraunhofer 0 Germany Prodromos Kolyvakis 0 Switzerland Patrick Lambrix 0 Linko¨pings Universitet 0 Sweden Oliver Lehmberg 0 University of Mannheim 0 Germany Fiona McNeill 0 University of Edinburgh 0 UK Hoa Ngo 0 CSIRO 0 Australia 0 Ernesto Jime ́nez-Ruiz , City , University of London, UK & SIRIUS, University of Oslo , Norway

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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OM-2023

 Introduction

The workshop had three goals: Acknowledgments. We thank all members of the program committee, authors and local organizers for their e€orts. We appreciate support from Trentino Digitale3, the EU SEALS (Semantic Evaluation at Large Scale) project, the EU HOBBIT (Holistic Benchmarking of Big Linked Data) project, the MELT (Matching EvaLuation Toolkit) project4, the Pistoia Alliance Ontologies Mapping project5, IBM Research6 and SIRIUS Centre for Scalable Data Access7.

Pavel Shvaiko Je´ro^me Euzenat Ernesto Jime´nez-Ruiz Oktie Hassanzadeh Ca´ssia Trojahn December 2023

3trentinodigitale.it 4dwslab.github.io/melt 5pistoiaalliance.org/projects/current-projects/ontologies-mapping 6research.ibm.com 7mn.uio.no/sirius

 Organizing Committee

Je´ro^me Euzenat,

INRIA & University Grenoble Alpes, France Program Committee George Papadakis, University of Athens, Greece Catia Pesquita, University of Lisbon, Portugal Henry Rosales-Me´ndez, University of Chile, Chile

Booma Sowkarthiga, Microso†, 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 Ondrˇej Zamazal, Prague University of Economics, Czech Republic Songmao Zhang, Chinese Academy of Sciences, China Lu Zhou, TigerGraph, USA

Truveta mapper: a zero-shot ontology alignment framework

 Mariyam Amir, Murchana Baruah, Mahsa Eslamialishah, Sina Ehsani,

Alireza Bahramali, Sadra Naddaf-Sh, Saman Zarandioon . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 The role of ontology matching in ontology network development Sheeba Samuel, Birgitta Ko¨nig-Ries, Alsayed Algergawy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Matching table metadata with business glossaries using large language models

 Elita Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya,

Dharmashankar Subramanian, Horst Samulowitzi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Contextualized structural self-supervised learning for ontology matching Zhu Wang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 Evaluation toolkit for API and RDF alignment

 Tobias Zeimetz, Maurice Bu¨sching, Fabian Birringer, Christoph Otter,

Daniel Zeiler, Ralf Schenkel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

Short Technical Papers

Conversational ontology alignment with ChatGPT Sanaz Saki Norouzi, Mohammad Saeid Mahdavinejad, Pascal Hitzler . . . . . . . . . . . . . . . . . . . . . . 61 Ontology matching using textual class descriptions Yiwen Peng, Mehwish Alam, Thomas Bonald . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 A simple standard for ontological mappings 2023: updates on data model, collaborations and tooling

 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, Ca´ssia Trojahn,

Nicole Vasilevsky, Christopher J. Mungall . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 Repairing networks of ontologies using weakening and completing Ying Li, Patrick Lambrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 Towards a methodology for the semi-automatic generation of scientic knowledge graphs from XML documents

 George Hannah, Terry Payne, Valentina Tamma, Andrew Mitchell,

Ellen Piercy, Boris Konev . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 Combining word and sentence embeddings with alignment extension for property matching Guilherme Sousa, Rinaldo Lima, Ca´ssia Trojahn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91

OAEI Papers

Results of the Ontology Alignment Evaluation Initiative 2023

 Mina Abd Nikooie Pour, Alsayed Algergawy, Patrice Buche, Leyla J. Castro, Jiaoyan Chen, Adrien Coulet, Julien Cu, Hang Dong, Omaima Fallatah, Daniel Faria, Irini Fundulaki, Sven Hertling, Yuan He, Ian Horrocks, Martin Huschka, Liliana Ibanescu, Sarika Jain, Ernesto Jime´nez-Ruiz, Naouel Karam, Patrick Lambrix, Huanyu Li, Ying Li, Pierre Monnin, Engy Nasr, Heiko Paulheim, Catia Pesquita, Tzanina Saveta, Pavel Shvaiko, Guilherme Sousa, Ca´ssia Trojahn,

Jana Vatascinova, Mingfang Wu, Beyza Yaman, Ondrˇej Zamazal, Lu Zhou . . . . . . . . . . . . . . . . 97 ALIN results for OAEI 2023 Jomar da Silva, Kate Revoredo, Fernanda Baia˜ o, Cabral Lima . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 AMD results for OAEI 2023 Zhu Wang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146 GraphMatcher system presentation Seka Efeoglu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154 LogMap family participation in the OAEI 2023 Ernesto Jime´nez-Ruiz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157 LSMatch and LSMatch-multilingual results for OAEI 2023 Abhisek Sharma, Sarika Jain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159 Results for Matcha and Matcha-DL in OAEI 2023 Daniel Faria, Marta Silva, Pedro Cotovio, Lucas Ferraz, Laura Balbi, Catia Pesquita . . . . . . . . 164 OLaLa results for OAEI 2023 Sven Hertling, Heiko Paulheim . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170 Results of PropMatch in OAEI 2023 Guilherme Sousa, Rinaldo Lima, Ca´ssia Trojahn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 SORBETmatcher results for OAEI 2023 Francis Gosselin, Amal Zouaq . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 TOMATO: results of the 2023 OAEI evaluation campaign Philippe Roussille, Olivier Teste . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191 Towards a benchmark dataset for the digital humanities Felix Ernst, Nicolas Blumenro¨hr . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200