The Tenth International Workshop on Ontology Matching

Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes the 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 translation, query answering or navigation on the web of data. 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) repeatable evaluations of the approaches proposed (not necessarily within 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 and open data);
• Requirements to matching from specific domains (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 and/or linked data;
• Instance matching, data interlinking and relations between them;
• 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 2015 campaign. Long technical papers should be of max. 12 pages using the LNCS Style. Short technical papers should be of max. 5 pages. Posters/statements of interest should not exceed 2 pages and should be handled according to the guidelines for technical papers. All contributions should be submitted in PDF format (no later than July 15th, 2015) through the workshop submission site at:

https://www.easychair.org/conferences/?conf=om2015

Contributors to the OAEI 2015 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2015/.

Long Technical Papers:

• New paradigm for alignment extraction
  Christian Meilicke, Heiner Stuckenschmidt
• A multilingual ontology matcher
  Gábor Bella, Fausto Giunchiglia, Ahmed AbuRa'edy, Fiona McNeill
• Understanding a large corpus of web tables through matching with knowledge bases: an empirical study
  Oktie Hassanzadeh, Michael J. Ward, Mariano Rodriguez-Muro, Kavitha Srinivas

Organizing Committee:

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

Program Committee:

• Alsayed Algergawy, Jena University, Germany
• Michele Barbera, Spazio Dati, Italy
• Zohra Bellahsene, LRIMM, France
• Olivier Bodenreider, National Library of Medicine, USA
• Marco Combetto, Informatica Trentina, Italy
• Valerie Cross, Miami University, USA
• Isabel Cruz, The University of Illinois at Chicago, USA
• Jérôme David, University Grenoble Alpes & INRIA, France
• Warith Eddine Djeddi, LIPAH & LABGED, Tunisia
• Alfio Ferrara, University of Milan, Italy
• Fausto Giunchiglia, University of Trento, Italy
• Wei Hu, Nanjing University, China
• Ryutaro Ichise, National Institute of Informatics, Japan
• Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
• Daniel Faria, Instituto Gulbenkian de Ciência, Portugal
• Patrick Lambrix, Linköpings Universitet, Sweden
• Nico Lavarini, Expert System, Italy
• Vincenzo Maltese, University of Trento, Italy
• Robert Meusel, University of Mannheim, Germany
• Fiona McNeill, University of Edinburgh, UK
• Peter Mork, Noblis, USA
• Andriy Nikolov, Open University, UK
• Axel Ngonga, University of Leipzig, Germany
• Christian Meilicke, University of Mannheim, Germany
• Leo Obrst, The MITRE Corporation, USA
• Heiko Paulheim, University of Mannheim, Germany
• Andrea Perego, European Commission - Joint Research Centre, Italy
• Catia Pesquita, University of Lisbon, Portugal
• Dominique Ritze, University of Mannheim, Germany
• Alessandro Solimando, University of Genova, Italy
• Kavitha Srinivas, IBM, USA
• Umberto Straccia, ISTI-C.N.R., Italy
• Ondrej Svab-Zamazal, Prague University of Economics, Czech Republic
• Cássia Trojahn, IRIT, France
• Lorenzino Vaccari, European Commission - Joint Research Center, Italy
• Ludger van Elst, DFKI, Germany
• Shenghui Wang, Vrije Universiteit Amsterdam, Netherlands
• Songmao Zhang, Chinese Academy of Sciences, China

Acknowledgements: