Ontology matching1 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.
To bring together leaders from academia, industry and user institutions to assess how academic advances are addressing real-world requirements. The workshop will strive to improve academic awareness of industrial and nal user needs, and therefore direct research towards those needs. Simultaneously, the workshop will serve to inform industry and user representatives about existing research eorts that may meet their requirements. The workshop will also investigate how the ontology matching technology is going to evolve.
To conduct an extensive and rigorous evaluation of ontology matching approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2013 campaign2. The particular focus of this year’s OAEI campaign is on real-world specic matching tasks as well as on evaluation of interactive matchers. Therefore, the ontology matching evaluation initiative itself will provide a solid ground for discussion of how well the current approaches are meeting business needs.
To examine similarities and dierences from database schema matching, which has received decades of attention but is just beginning to transition to mainstream tools.
i Acknowledgments. We thank all members of the program committee, authors and local organizers for their eorts. We appreciate support from the Trentino as a Lab (TasLab) 3 initiative of the European Network of the Living Labs4 at Informatica Trentina SpA 5, the EU SEALS (Semantic Evaluation at Large Scale)6 project and the Semantic Valley 7 initiative.
JØrme Euzenat Kavitha Srinivas Ming Mao Ernesto JimØnez-Ruiz October 2013 3http://www.taslab.eu 4http://www.openlivinglabs.eu 5http://www.infotn.it 6http://www.seals-project.eu 7http://www.semanticvalley.org/index_eng.htm ii
Pavel Shvaiko, TasLab, Informatica Trentina SpA, Italy JØrme Euzenat, INRIA & LIG, France Kavitha Srinivas, IBM, USA Ming Mao, eBay, USA Ernesto JimØnez-Ruiz, University of Oxford, UK
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 JØrme David, INRIA & LIG, France AnHai Doan, University of Wisconsin, USA Alo 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, Linkpings 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 Franois Schare, LIRMM & University of Montpellier, France Juan Sequeda, University of Texas at Austin, USA Luciano Serani, Fondazione Bruno Kessler - IRST, Italy Umberto Straccia, ISTI-C.N.R., Italy Ondej Zamazal, Prague University of Economics, Czech Republic CÆssia Trojahn, IRIT, France Raphaºl 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
reconciling correctness and coherence in ontology reference alignments Catia Pesquita, Daniel Faria, Emanuel Santos, Francisco M. Couto . . . . . . . 13
relational schemata to OWL ontologies Christoph Pinkel, Carsten Binnig, Evgeny Kharlamov, Peter Haase . . . . . . . . 37 Complex correspondences for query patterns rewriting Pascal Gillet, CÆssia Trojahn, Ollivier HaemmerlØ, Camille Pradel . . . . . . . . 49 Results of the Ontology Alignment Evaluation Initiative 2013 Bernardo Cuenca Grau, Zlatan Dragisic, Kai Eckert, JØrme Euzenat, Alo Ferrara, Roger Granada, Valentina Ivanova, Ernesto JimØnez-Ruiz, Andreas Oskar Kempf, Patrick Lambrix, Andriy Nikolov, Heiko Paulheim, Dominique Ritze, Franois Schare, Pavel Shvaiko, CÆssia Trojahn, Ondej Zamazal . . . . . . . .61
Daniel Faria, Catia Pesquita, Emanuel Santos, Isabel F. Cruz, Francisco M. Couto . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 Monolingual and cross-lingual ontology matching with CIDER-CL: evaluation report for OAEI 2013 Jorge Gracia, Kartik Asooja . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109
Amal Kammoun, Gayo Diallo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 SLINT+ results for OAEI 2013 instance matching Khai Nguyen, Ryutaro Ichise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 System for Parallel Heterogeneity Resolution (SPHeRe) results for OAEI 2013 Wajahat Ali Khan, Muhammad Bilal Amin, Asad Masood Khattak, Maqbool Hussain, Sungyoung Lee . . . . . . . . . . . . . . . . . . 184 SYNTHESIS: results for the Ontology Alignment Evaluation Initiative (OAEI) 2013 Antonis Koukourikos, George Vouros, Vangelis Karkaletsis . . . . . . . . . . . . . . . 190
Simon Steyskal, Axel Polleres . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223 An ontology mapping method based on support vector machine Jie Liu, Linlin Qin, Hanshi Wang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225 PLATAL - a tool for web hierarchies extraction and alignment Bernardo Severo, CÆssia Trojahn, Renata Vieira . . . . . . . . . . . . . . . . . . . . . . . . . 227 Is my ontology matching system similar to yours? Ernesto JimØnez-Ruiz, Bernardo Cuenca Grau, Ian Horrocks . . . . . . . . . . . . . 229 Ontological quality control in large-scale, applied ontology matching Catherine Legg, Samuel Sarjant . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 Variations on aligning linked open data ontologies Valerie Cross, Chen Gu, Xi Chen, Weiguo Xia, Peter Simon . . . . . . . . . . . . . 233
with geospatial reference data Abdelfettah Feliachi, Nathalie Abadie, Fayal Hamdi, Ghislain Auguste Atemezing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237
Heshan Du, Natasha Alechina, Michael Jackson, Glen Hart . . . . . . . . . . . . . . .239