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<pre>
                         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

</pre>