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 and instance matching (link discovery) approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2014 campaign 2. The particular focus of this year’s OAEI campaign is on real-world specic matching tasks as well as on evaluation of interactive matchers and matchers for query answering. 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 new uses, similarities and dierences from database schema matching, which has received decades of attention but is just beginning to transition to mainstream tools.
The program committee selected 5 submissions for oral presentation and 9 submissions for poster presentation. 14 matching system participated in this year’s OAEI campaign. Further information about the Ontology Matching workshop can be found at: http://om2014.ontologymatching.org/ . 1http://www.ontologymatching.org/ 2http://oaei.ontologymatching.org/2014 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.
Ernesto JimØnez-Ruiz Axel Ngonga October 2014 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
JØrme Euzenat, INRIA & LIG, France Ming Mao, Electronic Arts, USA Ernesto JimØnez-Ruiz, University of Oxford, UK Juanzi Li, Tsinghua University, China Axel Ngonga, University of Leipzig, Germany
Michele Barbera, Spazio Dati, Italy Zohra Bellahsene, LRIMM, France Chris Bizer, University of Mannheim, Germany Olivier Bodenreider, National Library of Medicine, USA Michelle Cheatham, Write State University, 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 Stefan Dietze, L3S, Germany Alo Ferrara, University of Milan, Italy Avigdor Gal, Technion, Israel 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 Yannis Kalfoglou, Ricoh Europe plc, UK Anastasios Kementsietsidis, IBM, USA Patrick Lambrix, Linkpings Universitet, Sweden Nico Lavarini, Expert System, Italy Tatiana Lesnikova, INRIA, France Vincenzo Maltese, University of Trento, Italy Fiona McNeill, University of Edinburgh, UK Christian Meilicke, University of Mannheim, 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
Alessandro Solimando, University of Genova, Italy Umberto Straccia, ISTI-C.N.R., Italy Ondej Zamazal, Prague University of Economics, Czech Republic CÆssia Trojahn, IRIT, 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 Songmao Zhang, Chinese Academy of Sciences, China Results of the Ontology Alignment Evaluation Initiative 2014 Zlatan Dragisic, Kai Eckert, JØr me Euzenat, Daniel Faria, Al o Ferrara, Roger Granada, Valentina Ivanova, Ernesto JimØnez-Ruiz, Andreas Oskar Kempf, Patrick Lambrix, Stefano Montanelli, Heiko Paulheim, Dominique Ritze, Pavel Shvaiko, Alessandro Solimando, CÆssia Trojahn, Ond ej Zamazal, Bernardo Cuenca Grau . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Alignment evaluation of MaasMatch for the OAEI 2014 campaign Frederik C. Schadd, Nico Roos . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135 OMReasoner: combination of multi-matchers for ontology matching: results for OAEI 2014 Guohua Shen, Yinling Liu, Fei Wang, Jia Si, Zi Wang, Zhiqiu Huang, Dazhou Kang . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142
Evaluation of string normalisation modules for string-based biomedical vocabularies alignment with AnAGram Anique van Berne, Veronique MalaisØ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170 Building reference alignments for compound matching of multiple ontologies using OBO cross-products Catia Pesquita, Michelle Cheatham, Daniel Faria, Joana Barros, Emanuel Santos, Francisco M. Couto . . . . . . . . . . . . . . . . . . . . . . 172 A term-based approach for matching multilingual thesauri Mauro Dragoni, Andi Rexha, Matteo Casu, Alessio Bosca . . . . . . . . . . . . . . . . 174
Partitioning-based ontology matching approaches: a comparative analysis Alsayed Algergawy, Friederike Klan, Birgitta Konig-Ries . . . . . . . . . . . . . . . . . . 180 Towards a cluster-based approach for user participation in ontology maching Vinicius Lopes, Fernanda Baiªo, Kate Revoredo . . . . . . . . . . . . . . . . . . . . . . . . . . 182 One query at a time: incremental, collective ontology matching Thomas Kowark, Hasso Plattner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184
an ontology matching approach Maria Karpathiotaki, Konstantina Dogani, Manolis Koubarakis . . . . . . . . . . . 186