:: OM-2023 ::

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.

	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 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, Cássia 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, Cássia Trojahn 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 Cufi, Hang Dong, Omaima Fallatah, Daniel Faria, Irini Fundulaki, Sven Hertling, Yuan He, Ian Horrocks, Martin Huschka, Liliana Ibanescu, Sarika Jain, Ernesto Jiménez-Ruiz, Naouel Karam, Patrick Lambrix, Huanyu Li, Ying Li, Pierre Monnin, Engy Nasr, Heiko Paulheim, Catia Pesquita, Tzanina Saveta, Pavel Shvaiko, Guilherme Sousa, Cássia Trojahn, Jana Vatascinova, Mingfang Wu, Beyza Yaman, Ondrej Zamazal, Lu Zhou ALIN results for OAEI 2023 Jomar da Silva, Kate Revoredo, Fernanda Araujo Baião, Cabral Lima AMD results for OAEI 2023 Zhu Wang GraphMatcher system presentation Sefika Efeoglu LogMap family participation in the OAEI 2023 Ernesto Jiménez-Ruiz LSMatch and LSMatch-multilingual results for OAEI 2023 Abhisek Sharma, Sarika Jain Results for Matcha and Matcha-DL in OAEI 2023 Daniel Faria, Marta Silva, Pedro Cotovio, Lucas Ferraz, Laura Balbi, Catia Pesquita OLaLa results for OAEI 2023 Sven Hertling, Heiko Paulheim Results of PropMatch in OAEI 2023 Guilherme Sousa, Rinaldo Lima, Cássia Trojahn SORBETmatcher results for OAEI 2023 Francis Gosselin, Amal Zouaq TOMATO: results of the 2023 OAEI evaluation campaign Philippe Roussille, Olivier Teste Statements of interest: Towards a benchmark dataset for the digital humanities Felix Ernst, Nicolas Blumenröhr


	Schedule
8:50-9:20	Poster set-up
9:20-9:30	Welcome and workshop overview (Room MC3.2) *Organizers*
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 *Organizers*
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 Acknowledgements: We appreciate support from Trentino Digitale, the EU SEALS project, as well as the Pistoia Alliance Ontologies Mapping project and IBM Research.