The 18th International Workshop on ONTOLOGY MATCHING (OM-2023) http://om2023.ontologymatching.org/ November 6th or 7th, 2023, International Semantic Web Conference (ISWC) Workshop Program, M.A.I.C.C., Athens, Greece BRIEF DESCRIPTION AND OBJECTIVES 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: 1. 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, knowledge graph and web table matching tasks. 2. 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: http://oaei.ontologymatching.org/2023/ 3. To examine similarities and differences from other, old, new and emerging, techniques and usages, such as web table matching or knowledge embeddings. 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; Formal foundations and frameworks for matching; Novel matching methods, including link prediction, ontology-based 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). SUBMISSIONS 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/read/gwhxnqcghhdt, while offline version with the style files is available from http://ceur-ws.org/Vol-XXX/CEURART.zip. Submissions should be uploaded in PDF format 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 http://oaei.ontologymatching.org/2023/. DATES FOR TECHNICAL PAPERS AND POSTERS: July 31st, 2023: Deadline for the submission of papers. August 28th, 2023: Deadline for the notification of acceptance/rejection. September 4th, 2023: Workshop camera ready copy submission. November 6th or 7th, 2023: OM-2023, 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. ORGANIZING COMMITTEE 1. Pavel Shvaiko (main contact) Trentino Digitale, Italy 2. Jérôme Euzenat INRIA & Univ. Grenoble Alpes, France 3. Ernesto Jiménez-Ruiz City, University of London, UK & SIRIUS, University of Oslo, Norway 4. Oktie Hassanzadeh IBM Research, USA 5. 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 ------------------------------------------------------- More about ontology matching: http://www.ontologymatching.org/ http://book.ontologymatching.org/ ------------------------------------------------------- Best Regards, Pavel ------------------------------------------------------- Pavel Shvaiko, PhD Trentino Digitale, Italy http://www.ontologymatching.org/ https://www.trentinodigitale.it/ http://www.dit.unitn.it/~pavel -- Cap. Soc. Euro 6.433.680,00 - REG. IMP. / C.F. / P.IVA 00990320228 E-mail: tndigit(a)tndigit.it <mailto:tndigit@tndigit.it> - www.trentinodigitale.it <http://www.trentinodigitale.it> Società soggetta ad attività di direzione e coordinamento da parte della Provincia Autonoma di Trento - C.Fisc. 00337460224. Questo messaggio è indirizzato esclusivamente ai destinatari in intestazione, può contenere informazioni protette e riservate ai sensi della normativa vigente e ne è vietato qualsiasi impiego diverso da quello per cui è stato inviato. Se lo avete ricevuto per errore siete pregati di eliminarlo in ogni sua parte e di avvisare il mittente