The Fourth 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. 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 and data translation. 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 its 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.

Topics of interest include but are not limited to:

• Business cases for matching;
• Requirements to matching from specific domains;
• Application of matching techniques in real-world scenarios;
• Formal foundations and frameworks for ontology matching;
• Large-scale ontology matching evaluation;
• Performance of matching techniques;
• Matcher selection and self-configuration;
• Uncertainty in ontology matching;
• 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 dynamic applications (e.g., peer-to-peer, agents, 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 2009 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 August 11, 2009) through the workshop submission site at:

http://www.easychair.org/conferences/?conf=om20090

Contributors to the OAEI 2009 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2009/.

Technical Papers:

• Scalable matching of industry models - a case study
  Brian Byrne, Achille Fokoue, Aditya Kalyanpur, Kavitha Srinivas and Min Wang
• Mapping-chains for studying concept shift in political ontologies
  Shenghui Wang, Stefan Schlobach, Janet Takens and Wouter van Atteveldt
• A pattern-based ontology matching approach for detecting complex correspondences
  Dominique Ritze, Christian Meilicke, Ondřej Šváb-Zamazal and Heiner Stuckenschmidt
• Computing minimal mappings
  Fausto Giunchiglia, Vincenzo Maltese and Aliaksandr Autayeu
• Efficient selection of mappings and automatic quality-driven combination of matching methods
  Isabel Cruz, Flavio Palandri Antonelli and Cosmin Stroe
• Measuring the structural preservation of semantic hierarchy alignment
  Cliff Joslyn, Patrick Paulson and Amanda White

Organizing Committee:

• Pavel Shvaiko (Main contact)
  TasLab, Informatica Trentina, Italy
  E-mail: pavel [dot] shvaiko [at] infotn [dot] it
• Jérôme Euzenat
  INRIA & LIG, France
  
• Fausto Giunchiglia
  University of Trento, Italy
  
• Heiner Stuckenschmidt
  University of Mannheim, Germany
• Natasha Noy
  Stanford Center for Biomedical Informatics Research, USA
• Arnon Rosenthal
  The MITRE Corporation, USA

Program Committee:

• Yuan An, Drexel University, USA
• Zohra Bellahsene, LIRMM, France
• Paolo Besana, University of Edinburgh, UK
• Olivier Bodenreider, National Library of Medicine, USA
• Isabel Cruz, University of Illinois at Chicago, USA
• Jérôme David, INRIA & LIG, France
• Avigdor Gal, Technion, Israel
• Jingshan Huang, University of South Alabama, USA
• Wei Hu, Southeast University, China
• Ryutaro Ichise, National Institute of Informatics, Japan
• Antoine Isaac, Vrije Universiteit Amsterdam, Netherlands
• Krzysztof Janowicz, University of Muenster, Germany
• Chiara Ghidini, Fondazione Bruno Kessler (IRST), Italy
• Bin He, IBM, USA
• Yannis Kalfoglou, Ricoh Europe plc, UK
• Monika Lanzenberger, Vienna University of Technology, Austria
• Patrick Lambrix, Linköpings Universitet, Sweden
• Maurizio Lenzerini, University of Rome - Sapienza, Italy
• Vincenzo Maltese, University of Trento, Italy
• Fiona McNeill, University of Edinburgh, UK
• Christian Meilicke, University of Mannheim, Germany
• Luca Mion, TasLab, Informatica Trentina S.p.A., Italy
• Peter Mork, The MITRE Corporation, USA
• Leo Obrst, The MITRE Corporation, USA
• Massimo Paolucci, DoCoMo Labs, Germany
• François Scharffe, INRIA, France
• Umberto Straccia, ISTI-C.N.R., Italy
• York Sure, University of Koblenz, Germany
• Andrei Tamilin, Fondazione Bruno Kessler (IRST), Italy
• Lorenzino Vaccari, PAT, Italy
• Ludger van Elst, DFKI, Germany
• Frank van Harmelen, Vrije Universiteit Amsterdam, Netherlands
• Yannis Velegrakis, University of Trento, Italy
• Baoshi Yan, Bosch Research, USA
• Rui Zhang, University of Trento, Italy
• Songmao Zhang, Chinese Academy of Sciences, China

Acknowledgements: