OM-2019

The Fourteenth International Workshop on Ontology Matching

collocated with the 18th International Semantic Web Conference ISWC-2019
October 26th or 27th, 2019, Owen G. Glenn Building, The University of Auckland, Auckland, New Zealand

Submission deadline is on June 28th, 2019

Objectives Call for papers Submissions Organization OM-2018


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:
  • 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.

  • 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. Besides real-world specific matching tasks, such as the disease-phenotype track supported by the Pistoia Alliance, will introduce the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching track, supported by IBM Research.

  • 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.

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Call for papers



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 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).
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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 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/.

Important dates:

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. In order for the paper to appear in the workshop proceedings, one of the authors must register for both the conference and the workshop by the EARLY registration deadline.

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Organization



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
    The Alan Turing Institute, UK & University of Oslo, Norway
  • Oktie Hassanzadeh
    IBM Research, USA
  • 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 Gulić, 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
  • Ondřej Zamazal, Prague University of Economics, Czech Republic
  • Songmao Zhang, Chinese Academy of Sciences, China

Acknowledgements:

We appreciate support from the Trentino as a Lab initiative of the European Network of the Living Labs at Trentino Digitale, the EU SEALS project, as well as the Pistoia Alliance Ontologies Mapping project and IBM Research.

TasLab logo        IT logo        IT logo        Pistoia Alliance logo        IBM Research logo       
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