The Seventh 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;
• Application of matching techniques in real-world scenarios;
• Formal foundations and frameworks for matching;
• Matching patterns;
• Instance matching and data interlinking;
• Large-scale matching evaluation;
• 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 2012 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 31st, 2012) through the workshop submission site at:

https://www.easychair.org/conferences/?conf=om2012

Contributors to the OAEI 2012 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2012/.

Technical Papers:

• SLINT: a schema-independent linked data interlinking system *
  Khai Nguyen, Ryutaro Ichise, Bac Le
• Learning conformation rules for linked data integration
  Axel-Cyrille Ngonga Ngomo
• Coupling of WordNet entries for ontology mapping using virtual documents *
  Frederik Schadd, Nico Roos
• WikiMatch - using Wikipedia for ontology matching
  Sven Hertling, Heiko Paulheim
• RIO: minimizing user interaction in debugging of aligned ontologies *
  Patrick Rodler, Kostyantyn Shchekotykhin, Philipp Fleiss, Gerhard Friedrich
• Using the OM2R meta-data model for ontology mapping reuse for the ontology alignment challenge - a case study
  Hendrik Thomas, Rob Brennan, Declan O'Sullivan
  
  * Authors have been invited to submit an extended version of the paper to be considered by the Journal on Data Semantics.

Organizing Committee:

• Pavel Shvaiko (Main contact)
  TasLab, Informatica Trentina, Italy
  E-mail: pavel [dot] shvaiko [at] infotn [dot] it
• Jérôme Euzenat
  INRIA & LIG, France
  
• Anastasios (Tasos) Kementsietsidis
  IBM Research, USA
• Ming Mao
  eBay, USA
• Natasha Noy
  Stanford University, USA
• Heiner Stuckenschmidt
  University of Mannheim, Germany

Program Committee:

• Michele Barbera, SpazioDati, Italy
• Chris Bizer, Free University Berlin, Germany
• Olivier Bodenreider, National Library of Medicine, USA
• Marco Combetto, Informatica Trentina, Italy
• Jérôme David, INRIA & LIG, France
• Alfio Ferrara, University of Milan, Italy
• Fausto Giunchiglia, University of Trento, 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, Free University Berlin, Germany
• Ernesto Jiménez-Ruiz, University of Oxford, UK
• Yannis Kalfoglou, Ricoh Europe plc, UK
• Patrick Lambrix, Linköpings Universitet, Sweden
• Monika Lanzenberger, Vienna University of Technology, Austria
• Rob Lemmens, ITC, The Netherlands
• Maurizio Lenzerini, University of Rome La Sapienza, Italy
• Vincenzo Maltese, University of Trento, Italy
• Fiona McNeill, University of Edinburgh, UK
• Christian Meilicke, University of Mannheim, Germany
• Peter Mork, Noblis, USA
• Nico Lavarini, Cogito - Expert System, Italy
• Axel-Cyrille Ngonga Ngomo, University of Leipzig, Germany
• Andriy Nikolov, Open University, UK
• Leo Obrst, The MITRE Corporation, USA
• Yefei Peng, Google, USA
• François Scharffe, LIRMM, France
• Luciano Serafini, Fondazione Bruno Kessler - IRST, Italy
• Kavitha Srinivas, IBM, USA
• Umberto Straccia, ISTI-C.N.R., Italy
• Ondrej Svab-Zamazal, Prague University of Economics, Czech Republic
• Cássia Trojahn dos Santos, INRIA & LIG, France
• Raphaël Troncy, EURECOM, France
• Giovanni Tummarello, Fondazione Bruno Kessler - IRST, Italy
• Lorenzino Vaccari, European Commission - Joint Research Center, Italy
• Ludger van Elst, DFKI, Germany
• Shenghui Wang, Vrije Universiteit Amsterdam, Netherlands
• Baoshi Yan, LinkedIn, USA
• Songmao Zhang, Chinese Academy of Sciences, China

Acknowledgements: