Ontology Matching

Introduction

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.

The workshop has three goals:

• 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 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 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/.

normalisation modules for string-based biomedical vocabularies alignment with AnAGram Anique van Berne, Veronique Malaisé . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 The importance of cross-lingual information for matching Wikipedia with the Cyc ontology Aleksander Smywinski-Pohl, Krzysztof Wróbel . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176 Constructing a class hierarchy with properties by rening and aligning Japanese wikipedia ontology and Japanese WordNet Takeshi Morita, Susumu Tamagawa, Takahira Yamaguchi . . . . . . . . . . . . . . . . 178 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 Baião, Kate Revoredo . . . . . . . . . . . . . . . . . . . . . . . . . . 182 One query at a time: incremental, collective ontology matching Thomas Kowark, Hasso Plattner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 Enabling semantic search for EO products: an ontology matching approach Maria Karpathiotaki, Konstantina Dogani, Manolis Koubarakis . . . . . . . . . . . 186 vii http://www.ontologymatching.org/ http://oaei.ontologymatching.org/2014 i October 2014 3 http://www.taslab.eu 4 http://www.openlivinglabs.eu 5 http://www.infotn.it 6 http://www.seals-project.eu 7 http://www.semanticvalley.org/index_eng.htm

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 Labs 4 at Informatica Trentina SpA 5 , the EU SEALS (Semantic Evaluation at Large Scale) 6 project and the Semantic Valley 7 initiative.

Pavel Shvaiko Jérôme Euzenat Ming Mao

Juanzi Li Ernesto Jiménez-Ruiz Axel Ngonga