The Twelfth International Workshop on Ontology Matching

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 in the matched ontologies to interoperate.

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 and open data);
• Requirements to matching from specific application scenarios (e.g., energy, public sector);
• Application of matching techniques in real-world scenarios (e.g., with mobile apps);
• Formal foundations and frameworks for matching;
• Matching and big data;
• Matching and linked data;
• Instance matching, data interlinking and relations between them;
• 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., information integration);
• Matching for emerging applications (e.g., search, web-services).

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 2017 campaign. Technical papers should be not longer than 12 pages using the LNCS Style. Posters/statements of interest should not exceed 2 pages and should be handled according to the guidelines for technical papers. All contributions should be prepared in PDF format and should be submitted (no later than July 28th, 2017) through the workshop submission site at:

https://www.easychair.org/conferences/?conf=om2017

Contributors to the OAEI 2017 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2017/.

Technical Papers:

• A high-performance approach to string similarity using most frequent K characters
  Andre Valdestilhas, Tommaso Soru, Axel-Cyrille Ngonga Ngomo
• Semantic interactive ontology matching: synergistic combination of techniques to improve the set of candidate correspondences
  Jomar da Silva, Fernanda Baião, Kate Revoredo, Jérôme Euzenat
• Exploring the synergies between biocuration and ontology alignment automation
  David Dearing, Terrance Goan
• Ontology matching for patent classification
  Christoph Quix, Sandra Geisler, Rihan Hai, Sanchit Alekh
• Extension of the M-Gov ontology mapping framework for increased traceability
  Anuj Singh, Christophe Debruyne, Rob Brennan, Alan Meehan, Declan O'Sullivan

Organizing Committee:

• Pavel Shvaiko (Main contact)
  Informatica Trentina, Italy
  E-mail: pavel [dot] shvaiko [at] infotn [dot] it
• Jérôme Euzenat
  INRIA & Univ. Grenoble Alpes, France
  
• Ernesto Jiménez-Ruiz
  University of Oslo, Norway
• Michelle Cheatham
  Wright State University, USA
• Oktie Hassanzadeh
  IBM Research, USA

Program Committee:

• Alsayed Algergawy, Jena University, Germany
• Manuel Atencia, INRIA & Univ. Grenoble Alpes, France
• Zohra Bellahsene, LRIMM, France
• Olivier Bodenreider, National Library of Medicine, USA
• Marco Combetto, Informatica Trentina, Italy
• Valerie Cross, Miami University, USA
• Warith Eddine Djeddi, LIPAH & LABGED, Tunisia
• Jérôme David, University Grenoble Alpes & INRIA, France
• Gayo Diallo, University of Bordeaux, France
• Zlatan Dragisic, Linköpings Universitet, Sweden
• Alfio Ferrara, University of Milan, Italy
• Wei Hu, Nanjing University, China <
• Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
• Valentina Ivanova, Linköpings Universitet, Sweden
• Ryutaro Ichise, National Institute of Informatics, Japan
• Daniel Faria, Instituto Gulbenkian de Ciência, Portugal
• Patrick Lambrix, Linköpings Universitet, Sweden
• Juanzi Li, Tsinghua University, China
• Vincenzo Maltese, University of Trento, Italy
• Fiona McNeill, University of Edinburgh, UK
• Peter Mork, Noblis, USA
• Andriy Nikolov, Open University, UK
• Axel Ngonga, University of Leipzig, Germany
• Catia Pesquita, University of Lisbon, Portugal
• Dominique Ritze, University of Mannheim, Germany
• Umberto Straccia, ISTI-C.N.R., Italy
• Ondrej Svab-Zamazal, Prague University of Economics, Czech Republic
• Cássia Trojahn, IRIT, France
• Ludger van Elst, DFKI, Germany

Acknowledgements: