=Paper= {{Paper |id=Vol-1111/om2013_preface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-1111/om2013_preface.pdf |volume=Vol-1111 }} ==None== https://ceur-ws.org/Vol-1111/om2013_preface.pdf
                      Ontology Matching
                                 OM-2013



              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 heterogeneity problem. It takes the ontologies as input and determines
as output an alignment, that is, a set of correspondences between the seman-
tically 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 knowl-
edge 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. Simul-
     taneously, the workshop will serve to inform industry and user represen-
     tatives 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
     approaches through the OAEI (Ontology Alignment Evaluation Initiative)
     2013 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. 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 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 11
submissions for poster presentation. 23 matching system participated in this
year's OAEI campaign.
    Further information about the Ontology Matching workshop can be found
at: http://om2013.ontologymatching.org/.
  1 http://www.ontologymatching.org/
  2 http://oaei.ontologymatching.org/2013



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Acknowledgments.       We thank all members of the program committee, au-
thors 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 SpA5 , the EU SEALS (Semantic Evaluation at
Large Scale)6 project and the Semantic Valley7 initiative.




Pavel Shvaiko
Jérôme Euzenat
Kavitha Srinivas
Ming Mao
Ernesto Jiménez-Ruiz
October 2013




  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



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                            Organization




Organizing Committee

Pavel Shvaiko, TasLab, Informatica Trentina SpA, Italy
Jérôme Euzenat, INRIA & LIG, France
Kavitha Srinivas, IBM, USA
Ming Mao, eBay, USA
Ernesto Jiménez-Ruiz, University of Oxford, UK


Program Committee

Manuel Atencia, INRIA &LIG, France
Michele Barbera, SpazioDati, Italy
Zohra Bellahsene, LRIMM, France
Chris Bizer, University of Mannheim, Germany
Olivier Bodenreider, National Library of Medicine, USA
Marco Combetto, Informatica Trentina, Italy
Gianluca Correndo, University of Southampton, UK
Isabel Cruz, The University of Illinois at Chicago, USA
Jérôme David, INRIA & LIG, France
AnHai Doan, University of Wisconsin, USA
Alo Ferrara, University of Milan, Italy
Bin He, IBM, USA
Wei Hu, Nanjing University, China
Ryutaro Ichise, National Institute of Informatics, Japan
Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
Krzysztof Janowicz, University of California, USA
Anja Jentzsch, Wikimedia Deutschland, Germany
Yannis Kalfoglou, Ricoh Europe plc, UK
Anastasios Kementsietsidis, IBM, USA
Patrick Lambrix, Linköpings Universitet, Sweden
Monika Lanzenberger, Vienna University of Technology, Austria
Vincenzo Maltese, University of Trento, Italy
Fiona McNeill, University of Edinburgh, UK
Christian Meilicke, University of Mannheim, Germany
Peter Mork, Noblis, USA
Axel-Cyrille Ngonga Ngomo, University of Leipzig, 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
François Schare, LIRMM & University of Montpellier, France

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Juan Sequeda, University of Texas at Austin, USA
Luciano Serani, Fondazione Bruno Kessler - IRST, Italy
Umberto Straccia, ISTI-C.N.R., Italy
Ond°ej Zamazal, Prague University of Economics, Czech Republic
Cássia Trojahn, IRIT, France
Raphaël Troncy, EURECOM, France
Giovanni Tummarello, Fondazione Bruno Kessler - IRST, Italy
Lorenzino Vaccari, Autonomous Province of Trento, Italy
Ludger van Elst, DFKI, Germany
Shenghui Wang, Vrije Universiteit Amsterdam, Netherlands
Baoshi Yan, LinkedIn, USA
Songmao Zhang, Chinese Academy of Sciences, China




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                                  Table of Contents




PART 1 - Technical Papers


Rapid execution of weighted edit distances
Tommaso Soru, Axel-Cyrille Ngonga Ngomo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
To repair or not to repair:
reconciling correctness and coherence in ontology reference alignments
Catia Pesquita, Daniel Faria, Emanuel Santos, Francisco M. Couto . . . . . . . 13
Unsupervised learning of link specications:
deterministic vs. non-deterministic
Axel-Cyrille Ngonga Ngomo, Klaus Lyko . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
IncMap: pay as you go matching of
relational schemata to OWL ontologies
Christoph Pinkel, Carsten Binnig, Evgeny Kharlamov, Peter Haase . . . . . . . . 37
Complex correspondences for query patterns rewriting
Pascal Gillet, Cássia Trojahn, Ollivier Haemmerlé, Camille Pradel . . . . . . . . 49




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PART 2 - OAEI Papers


Results of the Ontology Alignment Evaluation Initiative 2013
Bernardo Cuenca Grau, Zlatan Dragisic, Kai Eckert,
Jérôme Euzenat, Alo Ferrara, Roger Granada, Valentina Ivanova,
Ernesto Jiménez-Ruiz, Andreas Oskar Kempf, Patrick Lambrix,
Andriy Nikolov, Heiko Paulheim, Dominique Ritze,
François Schare, Pavel Shvaiko, Cássia Trojahn, Ond°ej Zamazal . . . . . . . .61
AgreementMakerLight results for OAEI 2013
Daniel Faria, Catia Pesquita, Emanuel Santos,
Isabel F. Cruz, Francisco M. Couto . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .101
Monolingual and cross-lingual ontology matching with CIDER-CL:
evaluation report for OAEI 2013
Jorge Gracia, Kartik Asooja . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .109
CroMatcher - results for OAEI 2013
Marko Guli¢, Boris Vrdoljak . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117
IAMA results for OAEI 2013
Yuanzhe Zhang, Xuepeng Wang, Shizhu He, Kang Liu,
Jun Zhao, Xueqiang Lv . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .123
LogMap and LogMapLt results for OAEI 2013
Ernesto Jiménez-Ruiz, Bernardo Cuenca Grau, Ian Horrocks . . . . . . . . . . . . . 131
Summary of the MaasMatch participation in the OAEI-2013 campaign
Frederik C. Schadd, Nico Roos . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139
StringsAuto and MapSSS results for OAEI 2013
Michelle Cheatham, Pascal Hitzler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .146
ODGOMS - results for OAEI 2013
I-Hong Kuo, Tai-Ting Wu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .153
RiMOM2013 results for OAEI 2013
Qian Zheng, Chao Shao, Juanzi Li, Zhichun Wang, Linmei Hu . . . . . . . . . . . 161
ServOMap results for OAEI 2013
Amal Kammoun, Gayo Diallo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169
SLINT+ results for OAEI 2013 instance matching
Khai Nguyen, Ryutaro Ichise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177




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System for Parallel Heterogeneity Resolution (SPHeRe)
results for OAEI 2013
Wajahat Ali Khan, Muhammad Bilal Amin,
Asad Masood Khattak, Maqbool Hussain, Sungyoung Lee . . . . . . . . . . . . . . . . . .184
SYNTHESIS: results for the Ontology Alignment
Evaluation Initiative (OAEI) 2013
Antonis Koukourikos, George Vouros, Vangelis Karkaletsis . . . . . . . . . . . . . . . 190
WeSeE-Match results for OAEI 2013
Heiko Paulheim, Sven Hertling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197
XMapGen and XMapSiG results for OAEI 2013
Warith Eddine Djeddi, Mohamed Tarek Khadir . . . . . . . . . . . . . . . . . . . . . . . . . . . 203
YAM++ results for OAEI 2013
DuyHoa Ngo, Zohra Bellahsene . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .211




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PART 3 - Posters


Collective ontology alignment
Jason B. Ellis, Oktie Hassanzadeh, Kavitha Srinivas, Michael J. Ward . . . 219
Uncertainty in crowdsourcing ontology matching
Jérôme Euzenat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221
Mix'n'Match: iteratively combining ontology matchers
in an anytime fashion
Simon Steyskal, Axel Polleres . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223
An ontology mapping method based on support vector machine
Jie Liu, Linlin Qin, Hanshi Wang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225
PLATAL - a tool for web hierarchies extraction and alignment
Bernardo Severo, Cássia Trojahn, Renata Vieira . . . . . . . . . . . . . . . . . . . . . . . . . 227
Is my ontology matching system similar to yours?
Ernesto Jiménez-Ruiz, Bernardo Cuenca Grau, Ian Horrocks . . . . . . . . . . . . . 229
Ontological quality control in large-scale, applied ontology matching
Catherine Legg, Samuel Sarjant . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231
Variations on aligning linked open data ontologies
Valerie Cross, Chen Gu, Xi Chen, Weiguo Xia, Peter Simon . . . . . . . . . . . . . 233
LOD4STAT: a scenario and requirements
Pavel Shvaiko, Michele Mostarda, Marco Amadori, Claudio Giuliano . . . . . 235
Interlinking and visualizing linked open data
with geospatial reference data
Abdelfettah Feliachi, Nathalie Abadie,
Fayçal Hamdi, Ghislain Auguste Atemezing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237
Matching geospatial instances
Heshan Du, Natasha Alechina, Michael Jackson, Glen Hart . . . . . . . . . . . . . . .239




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