:: OM-2023 ::

The 18th International Workshop on Ontology Matching

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

Objectives

Call for papers

Submissions

Accepted papers

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.

	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 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 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 (no later than July 31st, 2023) through the workshop submission site at: https://www.easychair.org/conferences/?conf=om2023 Contributors to the OAEI 2023 campaign have to follow the campaign conditions and schedule at https://oaei.ontologymatching.org/2023/. 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).

	Long Technical Papers: Truveta mapper: a zero-shot ontology alignment framework Mariyam Amir, Murchana Baruah, Mahsa Eslamialishah, Sina Ehsani, Alireza Bahramali, Sadra Naddaf-Sh, Saman Zarandioon The role of ontology matching in ontology network development Sheeba Samuel, Birgitta König-Ries, Alsayed Algergawy Matching table metadata with business glossaries using large language models Elita Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz Contextualized structural self-supervised learning for ontology matching Zhu Wang Evaluation toolkit for API and RDF alignment Tobias Zeimetz, Maurice Büsching, Fabian Birringer, Christoph Otter, Daniel Zeiler, Ralf Schenkel Short Technical Papers: Conversational ontology alignment with ChatGPT Sanaz Saki Norouzi, Mohammad Saeid Mahdavinejad, Pascal Hitzler Ontology matching using textual class descriptions Yiwen Peng, Mehwish Alam, Thomas Bonald 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, Cassia Trojahn, Nicole Vasilevsky, Christopher J. Mungall Repairing networks of ontologies using weakening and completing Ying Li, Patrick Lambrix 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 Combining word and sentence embeddings with alignment extension for property matching Guilherme Sousa, Rinaldo Lima, Cassia Trojahn OAEI Papers: To appear soon Statements of interest: Towards a benchmark dataset for the digital humanities Felix Ernst, Nicolas Blumenröhr

	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, Univeristy of London, UK & SIRIUS, Univeristy 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 Acknowledgements: We appreciate support from Trentino Digitale, the EU SEALS project, as well as the Pistoia Alliance Ontologies Mapping project and IBM Research.