... Most often we need to integrate together data sources that were not aiming at their integration while being designed, thus, increasing the difficulty of the matching operation. Even if a good progress has been made in the matching field as such, ontology matching may appear to be virtually impossible. Indeed, for finding the correspondences between entities, it is necessary to understand their meaning ... ------------------------------------------------------------------------------ FINAL CALL FOR CONTRIBUTIONS THE SUBMISSION DEADLINE IS APPROACHING ON JUNE 28TH, 2019 ------------------------------------------------------------------------------ The Fourteenth International Workshop on ONTOLOGY MATCHING (OM-2019) http://om2019.ontologymatching.org/ October 26th or 27th, 2019, ISWC Workshop Program, Auckland, New Zealand 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 process mapping. 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, process mapping 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) 2019 campaign: http://oaei.ontologymatching.org/2019/ 3. To examine new uses, similarities and differences from database schema matching, which has received decades of attention but is just beginning to transition to mainstream tools. This year, in sync with the main conference, we encourage submissions specifically devoted to: (i) datasets, benchmarks and replication studies, services, software, methodologies, protocols and measures (not necessarily related to OAEI), and (ii) application of the matching technology in real-life scenarios 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, homeland security); Application of matching techniques in real-world scenarios (e.g., with environmental data); Formal foundations and frameworks for matching; 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; 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 2019 campaign. Long technical papers should be of max. 12 pages. Short technical papers should be of max. 5 pages. Posters/statements of interest should not exceed 2 pages. All contributions have to be prepared using the LNCS Style: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 and should be submitted in PDF format (no later than June 28th, 2019) through the workshop submission site at: https://www.easychair.org/conferences/?conf=om2019 Contributors to the OAEI 2019 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2019/. DATES FOR TECHNICAL PAPERS AND POSTERS: June 28th, 2019: Deadline for the submission of papers. July 24th, 2019: Deadline for the notification of acceptance/rejection. August 26th, 2019: Workshop camera ready copy submission. October 26th or 27th, 2019: OM-2019, Auckland, New Zealand. 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 The Alan Turing Institute, UK & University of Oslo, Norway 4. Oktie Hassanzadeh IBM Research, USA 5.Cássia Trojahn IRIT, France PROGRAM COMMITTEE: Alsayed Algergawy, Jena University, Germany Manuel Atencia, INRIA & Univ. Grenoble Alpes, France Zohra Bellahsene, LIRMM, France Jiaoyan Chen, University of Oxford, UK Valerie Cross, Miami University, USA Jérôme David, University Grenoble Alpes & INRIA, France Gayo Diallo, University of Bordeaux, France Warith Eddine Djeddi, LIPAH & LABGED, Tunisia AnHai Doan, University of Wisconsin, USA Alfio Ferrara, University of Milan, Italy Marko Gulic, University of Rijeka, Croatia Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Simon Kocbek, University of Melbourne, Australia Prodromos Kolyvakis, EPFL, Switzerland Patrick Lambrix, Linköpings Universitet, Sweden Oliver Lehmberg, University of Mannheim, Germany Vincenzo Maltese, University of Trento, Italy Fiona McNeill, University of Edinburgh, UK Christian Meilicke, University of Mannheim, Germany Peter Mork, MITRE, USA Andriy Nikolov, Metaphacts GmbH, Germany Axel Ngonga, University of Paderborn, Germany George Papadakis, University of Athens, Greece Catia Pesquita, University of Lisbon, Portugal Henry Rosales-Méndez, University of Chile, Chile Juan Sequeda, Capsenta, USA Kavitha Srinivas, IBM, USA Giorgos Stoilos, National Technical University of Athens, Greece Pedro Szekely, University of Southern California, USA Valentina Tamma, University of Liverpool, UK Ludger van Elst, DFKI, Germany Xingsi Xue, Fujian University of Technology, China Ondrej Zamazal, Prague University of Economics, Czech Republic Songmao Zhang, Chinese Academy of Sciences, China ------------------------------------------------------- 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. 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