Ontology Matching OM-2017 Proceedings of the ISWC Workshop 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 hetero- geneity 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 on- tologies. These correspondences can be used for various tasks, such as ontology merg- ing, data translation, query answering or navigation on the web of data. Thus, matching ontologies enables the knowledge and data expressed with 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 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 on- tology matching technology is going to evolve. • To conduct an extensive and rigorous evaluation of ontology matching and in- stance matching (link discovery) approaches through the OAEI (Ontology Align- ment Evaluation Initiative) 2017 campaign2 . Besides real-world specific match- ing tasks, such as the desease-phenotype track supported by the Pistoia Alliance, IBM Research sponsored the instance matching related tracks this year. There- fore, the ontology matching evaluation initiative itself provided a solid ground for discussion of how well the current approaches are meeting business needs. • To examine new uses, similarities and differences from database schema match- 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 and 10 sub- missions for poster presentation. 21 matching systems participated in this year’s OAEI campaign. Further information about the Ontology Matching workshop can be found at: http://om2017.ontologymatching.org/. 1 http://www.ontologymatching.org/ 2 http://oaei.ontologymatching.org/2017 i 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 Informatica Trentina5 , 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 Jérôme Euzenat Ernesto Jiménez-Ruiz Michelle Cheatham Oktie Hassanzadeh December 2017 3 http://www.taslab.eu 4 http://www.openlivinglabs.eu 5 http://www.infotn.it 6 www.seals-project.eu 7 https://project-hobbit.eu/challenges/om2017/ 8 http://www.pistoiaalliance.org/projects/ontologies-mapping/ 9 http://oaei.ontologymatching.org/2017/ibm_prize.html ii Organization Organizing Committee Pavel Shvaiko, Informatica Trentina SpA, Italy Jérôme Euzenat, INRIA & University Grenoble Alpes, France Ernesto Jiménez-Ruiz, University of Oslo, Norway Michelle Cheatham, Wright State University, USA Oktie Hassanzadeh, IBM Research, USA Program Committee Alsayed Algergawy, Jena University, Germany Manuel Atencia, University Grenoble Alpes & INRIA, France Zohra Bellahsene, LRIMM, France Olivier Bodenreider, National Library of Medicine, USA Marco Combetto, Informatica Trentina, Italy Valerie Cross, Miami University, USA Warith Eddine Djeddi, LIPAH & LABGED, Tunisia Jérôme David, University Grenoble Alpes & INRIA, France Gayo Diallo, University of Bordeaux, France Zlatan Dragisic, Linköpings Universitet, Sweden Alfio Ferrara, University of Milan, Italy Wei Hu, Nanjing University, China Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Valentina Ivanova, Linköpings Universitet, Sweden Ryutaro Ichise, National Institute of Informatics, Japan Daniel Faria, Instituto Gulbenkian de Ciência, Portugal Patrick Lambrix, Linköpings Universitet, Sweden Juanzi Li, Tsinghua University, China Vincenzo Maltese, University of Trento, Italy Fiona McNeill, University of Edinburgh, UK Andriy Nikolov, Open University, UK Axel Ngonga, University of Leipzig, Germany Catia Pesquita, University of Lisbon, Portugal Dominique Ritze, University of Mannheim, Germany Umberto Straccia, ISTI-C.N.R., Italy Ondřej Zamazal, Prague University of Economics, Czech Republic Cássia Trojahn, IRIT, France Ludger van Elst, DFKI, Germany iii Table of Contents Technical Papers A high-performance approach to string similarity using most frequent K characters Andre Valdestilhas, Tommaso Soru, Axel-Cyrille Ngonga Ngomo . . . . . . . . . . . . . . . . . 1 Semantic interactive ontology matching: synergistic combination of techniques to improve the set of candidate correspondences Jomar da Silva, Fernanda Baião, Kate Revoredo, Jérôme Euzenat . . . . . . . . . . . . . . . 13 Exploring the synergies between biocuration and ontology alignment automation David Dearing, Terrance Goan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Ontology matching for patent classification Christoph Quix, Sandra Geisler, Rihan Hai, Sanchit Alekh . . . . . . . . . . . . . . . . . . . . . . 37 Extension of the M-Gov ontology mapping framework for increased traceability Anuj Singh, Christophe Debruyne, Rob Brennan, Alan Meehan, Declan O’Sullivan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 iv OAEI Papers Results of the Ontology Alignment Evaluation Initiative 2017 Manel Achichi, Michelle Cheatham, Zlatan Dragisic, Jérôme Euzenat, Daniel Faria, Alfio Ferrara, Giorgos Flouris, Irini Fundulaki, Ian Harrow, Valentina Ivanova, Ernesto Jiménez-Ruiz, Kristian Kolthoff, Elena Kuss, Patrick Lambrix, Henrik Leopold, Huanyu Li, Christian Meilicke, Majid Mohammadi, Stefano Montanelli, Catia Pesquita, Tzanina Saveta, Pavel Shvaiko, Andrea Splendiani, Heiner Stuckenschmidt, Élodie Thiéblin, Konstantin Todorov, Cássia Trojahn, Ondřej Zamazal . . . . . . . . . . . . . . . . . . . . . . . . . . 61 ALIN results for OAEI 2017 Jomar da Silva, Fernanda Baião, Kate Revoredo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 Results of AML in OAEI 2017 Daniel Faria, Booma S. Balasubramani, Vivek Shivaprabhu, Isabela Mott, Catia Pesquita, Francisco Couto, Isabel Cruz . . . . . . . . . . . . . . . . . . . . 122 CroLOM results for OAEI 2017: summary of cross-lingual ontology matching systems results at OAEI Abderrahmane Khiat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 I-Match and OntoIdea results for OAEI 2017 Abderrahmane Khiat, Maximilian Mackeprang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135 OAEI 2017 results of KEPLER Marouen Kachroudi, Gayo Diallo, Sadok Ben Yahia . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 Legato results for OAEI 2017 Manel Achichi, Zohra Bellahsene, Konstantin Todorov . . . . . . . . . . . . . . . . . . . . . . . . . 146 LogMap family participation in the OAEI 2017 Ernesto Jiménez-Ruiz, Bernardo Cuenca Grau, Valerie Cross . . . . . . . . . . . . . . . . . . 153 njuLink: results for instance matching at OAEI 2017 Xinze Lyu, Qingheng Zhang, Wei Hu, Zequn Sun, Yuzhong Qu . . . . . . . . . . . . . . . . . . 158 ONTMAT: results for OAEI 2017 Saida Gherbi, Mohamed Tarek Khadir . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 POMap results for OAEI 2017 Amir Laadhar, Faiza Ghozzi, Imen Megdiche, Franck Ravat, Olivier Teste, Faiez Gargouri . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171 Radon results for OAEI 2017 Kevin Dreßler, Mohamed Ahmed Sherif, Axel Ngonga . . . . . . . . . . . . . . . . . . . . . . . . . 178 SANOM results for OAEI 2017 Majid Mohammadi, Amir Atashin, Wout Hofman, Yao-Hua Tan . . . . . . . . . . . . . . . . . 185 v WikiV3 results for OAEI 2017 Sven Hertling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190 XMap results for OAEI 2017 Warith Eddine Djeddi, Mohamed Tarek Khadir, Sadok Ben Yahia . . . . . . . . . . . . . . . 196 YAM-BIO: results for OAEI 2017 Amina Annane, Zohra Bellahsene, Faical Azouaou, Clement Jonquet . . . . . . . . . . . 201 vi Posters Towards building a link set backed by domain experts using the alignment tool Ondřej Zamazal, Sotirios Karampatakis, Charalampos Bratsas . . . . . . . . . . . . . . . . .207 HOBBIT link discovery benchmarks at ontology matching 2017 Michael Röder, Tzanina Saveta, Irini Fundulaki, Axel-Cyrille Ngonga Ngomo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209 Alignment: a collaborative, system aided, interactive ontology matching platform Sotirios Karampatakis, Charalampos Bratsas, Ondřej Zamazal, Panagiotis Marios Filippidis, Ioannis Antoniou . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211 Boosting MultiFarm track with Turkish dataset Abderrahmane Khiat, Beyza Yaman, Giovanna Guerrini, Ernesto Jiménez-Ruiz, Naouel Karam . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213 A replication study: understanding what drives the performance in WikiMatch Lu Zhou, Michelle Cheatham . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215 Towards a complex alignment evaluation dataset Élodie Thiéblin, Ollivier Haemmerlé, Nathalie Hernandez, Cássia Trojahn . . . . . . 217 On partitioning for ontology alignment Sunny Pereira, Valerie Cross, Ernesto Jiménez-Ruiz . . . . . . . . . . . . . . . . . . . . . . . . . . . 219 Paving a research roadmap on network of ontologies Fábio Santos, Kate Revoredo, Fernanda Baião . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 Using word semantics on entity names for correspondence set generation Rafael Vieira, Kate Revoredo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223 Matching domain and top-level ontologies via OntoWordNet Daniela Schmidt, Rafael Basso, Cássia Trojahn, Renata Vieira . . . . . . . . . . . . . . . . . 225 vii