The Eighth 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 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., open government data);
• Requirements to matching from specific domains (e.g., energy);
• Application of matching techniques in real-world scenarios (e.g., with mobile apps);
• Formal foundations and frameworks for matching;
• Matching patterns;
• Matching and big data;
• Entity matching;
• Instance matching and data interlinking;
• Large-scale matching;
• Performance of matching techniques;
• Matcher selection and self-configuration;
• User involvement (including both technical and organizational aspects);
• Explanations in matching;
• Social and collaborative matching;
• Alignment management;
• Reasoning with alignments;
• Matching for traditional applications (e.g., information integration);
• Matching for emerging applications (e.g., linked data, search).

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 2013 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 12th, 2013) through the workshop submission site at:

https://www.easychair.org/conferences/?conf=om20130

Contributors to the OAEI 2013 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2013/.

Technical Papers:

• Rapid execution of weighted edit distances
  Tommaso Soru, Axel-Cyrille Ngonga Ngomo
• To repair or not to repair: reconciling correctness and coherence in ontology reference alignments
  Catia Pesquita, Daniel Faria, Emanuel Santos, Francisco M. Couto
• Unsupervised learning of link specifications: deterministic vs. non-deterministic
  Axel-Cyrille Ngonga Ngomo, Klaus Lyko
• IncMap: pay as you go matching of relational schemata to OWL ontologies
  Christoph Pinkel, Carsten Binnig, Evgeny Kharlamov, Peter Haase
• Complex correspondences for query patterns rewriting
  Pascal Gillet, Cássia Trojahn, Ollivier Haemmerlé, Camille Pradel
  

Organizing Committee:

• Pavel Shvaiko (Main contact)
  TasLab, Informatica Trentina, Italy
  E-mail: pavel [dot] shvaiko [at] infotn [dot] it
• Jérôme Euzenat
  INRIA & LIG, France
  
• Kavitha Srinivas
  IBM, USA
• Ming Mao
  eBay, USA
• Ernesto Jiménez-Ruiz
  University of Oxford, UK

Program Committee:

• Manuel Atencia, INRIA &LIG, France
• Michele Barbera, SpazioDati, Italy
• Zohra Bellahsene, LRIMM, France
• Chris Bizer, University of Mannheim, Germany
• Olivier Bodenreider, National Library of Medicine, USA
• Marco Combetto, Informatica Trentina, Italy
• Gianluca Correndo, University of Southampton, UK
• Isabel Cruz, The University of Illinois at Chicago, USA
• Jérôme David, INRIA & LIG, France
• AnHai Doan, University of Wisconsin, USA
• Alfio Ferrara, University of Milan, Italy
• Bin He, IBM, USA
• Wei Hu, Nanjing University, China
• Ryutaro Ichise, National Institute of Informatics, Japan
• Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
• Krzysztof Janowicz, University of California, USA
• Anja Jentzsch, Wikimedia Deutschland, Germany
• Yannis Kalfoglou, Ricoh Europe plc, UK
• Anastasios Kementsietsidis, IBM, USA
• Patrick Lambrix, Linköpings Universitet, Sweden
• Monika Lanzenberger, Vienna University of Technology, Austria
• Vincenzo Maltese, University of Trento, Italy
• Fiona McNeill, University of Edinburgh, UK
• Christian Meilicke, University of Mannheim, Germany
• Peter Mork, Noblis, USA
• Axel-Cyrille Ngonga Ngomo, University of Leipzig, Germany
• Andriy Nikolov, Open University, UK
• Leo Obrst, The MITRE Corporation, USA
• Heiko Paulheim, University of Mannheim, Germany
• Yefei Peng, Google, USA
• Andrea Perego, European Commission - Joint Research Centre, Italy
• François Scharffe, LIRMM & University of Montpellier, France
• Juan Sequeda, University of Texas at Austin, USA
• Luciano Serafini, Fondazione Bruno Kessler - IRST, Italy
• Umberto Straccia, ISTI-C.N.R., Italy
• Ondrej Svab-Zamazal, Prague University of Economics, Czech Republic
• Cássia Trojahn, IRIT, France
• Raphaël Troncy, EURECOM, France
• Giovanni Tummarello, Fondazione Bruno Kessler - IRST, Italy
• Lorenzino Vaccari, Autonomous Province of Trento, Italy
• Ludger van Elst, DFKI, Germany
• Shenghui Wang, Vrije Universiteit Amsterdam, Netherlands
• Baoshi Yan, LinkedIn, USA
• Songmao Zhang, Chinese Academy of Sciences, China

Acknowledgements: