Proceedings of the ISWC Workshop Cássia Trojahn, University of Grenoble Alpes , France Ernesto Jiménez-Ruiz, City St George's, University of London & SIRIUS, University of Oslo , Norway Huanyu Li, Linköping University , Sweden Jérôme Euzenat, INRIA & University of Grenoble Alpes , France 2024

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.

 -

Acknowledgments. We thank all members of the program committee, authors and local organizers for their eforts. We appreciate support from Trentino Digitale 3, 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.

 Ernesto Jiménez-Ruiz Oktie Hassanzadeh Cássia Trojahn Sven Hertling Huanyu Li Pavel Shvaiko Jérôme Euzenat December 2024 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, Flatfee Corp, USA A Gold Standard Benchmark Dataset for Digital Humanities

Felix Kraus, Nicolas Blumenröhr, Germaine Götzelmann, Danah Tonne and Achim Streit . . . . . . . . . . . . . 1

 A Scalable Method for Large-scale Entity Alignment via Multi-Channel Retrieval and Fusion

Ningxin Chen and Zhichun Wang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

 MDMapper: A Framework for Aligning Master Data Models Using Ontology Matching Techniques

Xianhao Liu, Jesper Grode and Michael R. Hansen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30

 Towards Generating Complex Alignments with Large Language Models via Prompt Engineering

Guilherme Henrique Santos Sousa, Rinaldo Lima and Cássia Trojahn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Short Technical Papers

 Towards Tailoring Ontology Embeddings for Ontology Matching Tasks

Sevinj Teymurova, Ernesto Jiménez-Ruiz, Tillman Weyde and Jiaoyan Chen . . . . . . . . . . . . . . . . . . . . . . . 57 Enhancing Entity Matching Through Systematic Association of Matchers to Linking Problem Types Chloé Khadija Jradeh, Konstantin Todorov and Cássia Trojahn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61

 Results of the Ontology Alignment Evaluation Initiative 2024

Mina Abd Nikooie Pour, Alsayed Algergawy, Eva Blomqvist, Patrice Buche, Jiaoyan Chen, Adrien Coulet, Julien Cufi, Hang Dong, Daniel Faria, Lucas Ferraz, Pedro Giesteira Cotovio, Yuan He, Sven Hertling, Ian Horrocks, Liliana Ibanescu, Sarika Jain, Ernesto Jiménez-Ruiz, Naouel Karam, Felix Kraus, Patrick Lambrix, Huanyu Li, Ying Li, 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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64

 MDMapper Results for OAEI 2024

Xianhao Liu, Michael R. Hansen and Jesper Grode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98

 Results for BioGITOM in OAEI 2024 Samira Oulefki, Lamia Berkani, Ladjel Bellatreche, Nassim Boudjenah and Aicha Mokhtari

. . . . . . . . 104

Results in OAEI 2024 for Matcha

Daniel Faria, Marta C. Silva, Pedro Cotovio, Lucas Ferraz, Laura Balbi and Catia Pesquita . . . . . . . . . 110

 ALIN Results for OAEI 2024

Jomar da Silva, Kate Revoredo, Fernanda Araujo Baião and Cabral Lima . . . . . . . . . . . . . . . . . . . . . . . . . 118

 OntoMatch Results for OAEI 2024

Julian Sampels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124

 BioSTransMatch Results @ OAEI 2024

Safaa Menad, Saïd Abdeddaïm and Lina F. Soualmia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132

 HybridOM: Ontology Matching using Hybrid Search

Marius-Horatiu Totoian, Anca Marginean, Philipp Blohm and Mir Nawab Hussain . . . . . . . . . . . . . . . . 138

 TOMATO: results of the 2024 OAEI evaluation campaign

Philippe Roussille and Olivier Teste . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146

 Results of CANARD in OAEI 2024

Guilherme Sousa, Rinaldo Lima and Cássia Trojahn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156

 LogMap Family Participation in the OAEI 2024

Ernesto Jiménez-Ruiz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161