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 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 over knowledge graphs. Thus, matching ontologies enables the knowledge and data expressed with 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 strives to improve academic awareness of industrial and final user needs, and therefore, direct research towards those needs. Simultaneously, the workshop serves to inform industry and user representatives about existing research efforts that may meet their requirements. The workshop also investigated how the ontology matching technology is going to evolve, especially with respect to data interlinking, process mapping and web table matching tasks.
stance matching (link discovery) approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2018 campaign2.
ing, which has received decades of attention but is just beginning to transition to mainstream tools, or the emerging process matching task.
The program committee selected 5 submissions for oral presentation, treated as long technical papers in the proceedings, and 9 submissions for poster presentation, out of which 3 are treated as short technical papers and 6 as posters in the proceedings. 19 matching systems participated in this year’s OAEI campaign. Further information about the Ontology Matching workshop can be found at: http://om2018. ontologymatching.org/. Acknowledgments. We thank all members of the program committee, authors and local organizers for their efforts. We appreciate support from the Trentino as a Lab3 initiative of the European Network of the Living Labs4 at Trentino Digitale5, the EU SEALS (Semantic Evaluation at Large Scale) project6, the EU HOBBIT (Holistic Benchmarking of Big Linked Data) project7, the Pistoia Alliance Ontologies Mapping project8 and IBM Research9.
Pavel Shvaiko Je´roˆme Euzenat Ernesto Jime´nez-Ruiz Michelle Cheatham Oktie Hassanzadeh December 2018 3http://www.taslab.eu 4http://www.openlivinglabs.eu 5http://www.trentinodigitale.it 6http://www.seals-project.eu 7https://project-hobbit.eu/challenges/om2018/ 8http://www.pistoiaalliance.org/projects/ontologies-mapping/ 9http://research.ibm.com/labs/watson/
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exploring word sense disambiguation and word embedding 10 Daniela Schmidt, Rafael Basso, Ca´ssia Trojahn, Renata Vieira . . . . . . . . . . . . . . . . . . . 1
Ernesto Jime´nez-Ruiz, Asan Agibetov, Matthias Samwald, Valerie Cross . . . . . . . . . . 13
Jomar Silva, Kate Revoredo, Fernanda Baia˜o, Je´roˆme Euzenat . . . . . . . . . . . . . . . . . . 25
Short Technical Papers
Elodie Thie´blin, Ollivier Haemmerle´, Ca´ssia Trojahn . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
Fabio Santos, Kate Revoredo, Fernanda Baia˜o . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 10 Paper published in Emerging Topics in Semantic Technologies. ISWC 2018 Satellite Events. E. Demidova, A.J. Zaveri, E. Simperl (Eds.), ISBN: 978-3-89838-736-1, 2018, AKA Verlag Berlin OAEI Papers
Alsayed Algergawy, Michelle Cheatham, Daniel Faria, Alfio Ferrara, Irini Fundulaki, Ian Harrow, Sven Hertling, Ernesto Jime´nez-Ruiz, Naouel Karam, Abderrahmane Khiat, Patrick Lambrix, Huanyu Li, Stefano Montanelli, Heiko Paulheim, Catia Pesquita, Tzanina Saveta, Daniela Schmidt, Pavel Shvaiko, Andrea Splendiani, E´lodie Thie´blin, Ca´ssia Trojahn, Jana Vatasˇcˇinova´, Ondrˇej Zamazal, Lu Zhou . . . . . . . . . . . . . . . . . . . 76
Jomar da Silva, Kate Revoredo, Fernanda Baia˜o . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117
Daniel Faria, Catia Pesquita, Booma Sowkarthiga Balasubramani, Teemu Tervo, David Carric¸o, Rodrigo Garrilha, Francisco M. Couto, Isabel F. Cruz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125
Elodie Thie´blin, Ollivier Haemmerle´, Ca´ssia Trojahn . . . . . . . . . . . . . . . . . . . . . . . . . 138
Juliana Medeiros Destro, Gabriel Oliveira dos Santos, Julio Cesar dos Reis, Ricardo da S. Torres, Ariadne Maria B. R. Carvalho, Ivan Ricarte . . . . . . . . . . . . . . 152
Philippe Roussille, Imen Megdiche, Olivier Teste, Ca´ssia Trojahn . . . . . . . . . . . . . . . 167
Marouen Kachroudi, Gayo Diallo, Sadok Ben Yahia . . . . . . . . . . . . . . . . . . . . . . . . . . . 173
Ernesto Jime´nez-Ruiz, Bernardo Cuenca Grau, Valerie Cross . . . . . . . . . . . . . . . . . . 187
Amir Laadhar, Faiza Ghozzi, Imen Megdiche, Franck Ravat, Olivier Teste, Faiez Gargouri . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192
to accelerate link discovery over geo-spatial RDF knowledge bases:
Abdullah Fathi Ahmed, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo . . . 197
Majid Mohammadi, Wout Hofman, Yao-Hua Tan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205
Warith Eddine Djeddi, Sadok Ben Yahia, Mohamed Tarek Khadir . . . . . . . . . . . . . . . 210
Mouna Kamel, Daniela Schmidt, Ca´ssia Trojahn, Renata Vieira . . . . . . . . . . . . . . . . 216
Giorgos Stoilos, David Geleta, Jetendr Shamdasani, Mohammad Khodadadi . . . . 218
Amir Laadhar, Faiza Ghozzi, Ryutaro Ichise, Imen Megdiche, Franck Ravat, Teste Olivier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220
Bruno Thiao-Layel, Vianney Jouhet, Gayo Diallo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226