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      <title-group>
        <article-title>Ontology Matching</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Pavel Shvaiko, Informatica Trentina SpA, Italy Je ́roˆ me Euzenat, INRIA &amp; University Grenoble Alpes, France Ernesto Jime ́nez-Ruiz, University of Oxford, UK Michelle Cheatham, Wright State University, USA Oktie Hassanzadeh, IBM Research, USA Ryutaro Ichise, National Institute of Informatics</institution>
          ,
          <country country="JP">Japan</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2016</year>
      </pub-date>
      <abstract>
        <p>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 on the web of data. Thus, matching ontologies enables the knowledge and data expressed in the matched ontologies to interoperate.</p>
      </abstract>
    </article-meta>
  </front>
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    <sec id="sec-1">
      <title>Introduction</title>
      <p>The workshop has three goals:</p>
      <p>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.</p>
      <p>To conduct an extensive and rigorous evaluation of ontology matching and
instance matching (link discovery) approaches through the OAEI (Ontology
Alignment Evaluation Initiative) 2016 campaign2. Besides real-world specific
matching tasks, involving e.g., large biomedical ontologies, OAEI 2016 introduced the
process model matching track as well as a desease-phenotype track supported
by the Pistoia Alliance Ontologies Mapping project within a specific matching
scenario. Therefore, the ontology matching evaluation initiative itself provided
a solid ground for discussion of how well the current approaches are meeting
business needs.</p>
      <p>To examine new uses, similarities and differences from database schema
matching, which has received decades of attention but is just beginning to transition to
mainstream tools.</p>
      <p>The program committee selected 6 submissions for oral presentation and 9
submissions 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://om2016.ontologymatching.org/.</p>
      <p>1http://www.ontologymatching.org/
2http://oaei.ontologymatching.org/2016
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)6 project and the Pistoia Alliance
Ontologies Mapping project7.</p>
      <p>Pavel Shvaiko
Je´roˆme Euzenat
Ernesto Jime´nez-Ruiz
Michelle Cheatham
Oktie Hassanzadeh
Ryutaro Ichise
December 2016
3http://www.taslab.eu
4http://www.openlivinglabs.eu
5http://www.infotn.it
6http://www.development.seals-project.eu/
7http://www.pistoiaalliance.org/ontologies-mapping-plans-participate-oaei-2016/
ii</p>
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    <sec id="sec-2">
      <title>Organizing Committee</title>
    </sec>
    <sec id="sec-3">
      <title>Program Committee</title>
      <p>Alsayed Algergawy, Jena University, Germany
Zohra Bellahsene, LRIMM, France
Olivier Bodenreider, National Library of Medicine, USA
Marco Combetto, Informatica Trentina, Italy
Valerie Cross, Miami University, USA
Isabel Cruz, The University of Illinois at Chicago, USA
Warith Eddine Djeddi, LIPAH &amp; LABGED, Tunisia
Je´roˆ me David, University Grenoble Alpes &amp; INRIA, France
Gayo Diallo, University of Bordeaux, France
Zlatan Dragisic, Linko¨ pings Universitet, Sweden
Alfio Ferrara, University of Milan, Italy
Fausto Giunchiglia, University of Trento, Italy
Wei Hu, Nanjing University, China
Valentina Ivanova, Linko¨ pings Universitet, Sweden
Antoine Isaac, Vrije Universiteit Amsterdam &amp; Europeana, Netherlands
Daniel Faria, Instituto Gulbenkian de Cieˆncia, Portugal
Patrick Lambrix, Linko¨ pings Universitet, Sweden
Juanzi Li, Tsinghua University, China
Vincenzo Maltese, University of Trento, Italy
Fiona McNeill, University of Edinburgh, UK
Christian Meilicke, University of Mannheim, Germany
Andriy Nikolov, Open University, UK
Axel Ngonga, University of Leipzig, Germany
Leo Obrst, The MITRE Corporation, USA
Heiko Paulheim, University of Mannheim, Germany
Catia Pesquita, University of Lisbon, Portugal
Dominique Ritze, University of Mannheim, Germany
Umberto Straccia, ISTI-C.N.R., Italy
Ondrˇej Zamazal, Prague University of Economics, Czech Republic
Valentina Tamma, University of Liverpool, UK
Ca´ssia Trojahn, IRIT, France
Ludger van Elst, DFKI, Germany
Songmao Zhang, Chinese Academy of Sciences, China
Towards best practices for crowdsourcing ontology alignment benchmarks
Reihaneh Amini, Michelle Cheatham, Pawel Grzebala, Helena B. McCurdy . . . . . . . . 1
Analysing top-level and domain ontology alignments from matching systems
Daniela Schmidt, Ca´ssia Trojahn, Renata Vieira . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Ontology alignment evaluation in the context of multi-agent interactions
Paula Chocron, Marco Schorlemmer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Tableau extensions for reasoning with link keys
Maroua Gmati, Manuel Atencia, Je´roˆme Euzenat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Rewriting SELECT SPARQL queries from 1:n complex correspondences
E´lodie Thie´blin, Fabien Amarger, Ollivier Haemmerle´,
Nathalie Hernandez, Ca´ssia Trojahn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Identifying and validating ontology mappings by formal concept analysis
Mengyi Zhao, Songmao Zhang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
OAEI Papers
Results of the Ontology Alignment Evaluation Initiative 2016
Manel Achichi, Michelle Cheatham, Zlatan Dragisic, Je´roˆme Euzenat,
Daniel Faria, Alfio Ferrara, Giorgos Flouris, Irini Fundulaki, Ian Harrow,
Valentina Ivanova, Ernesto Jime´nez-Ruiz, Elena Kuss, Patrick Lambrix,
Henrik Leopold, Huanyu Li, Christian Meilicke, Stefano Montanelli, Catia Pesquita,
Tzanina Saveta, Pavel Shvaiko, Andrea Splendiani, Heiner Stuckenschmidt,
Konstantin Todorov, Ca´ssia Trojahn, Ondrˇej Zamazal . . . . . . . . . . . . . . . . . . . . . . . . . . 73
ALIN results for OAEI 2016
Jomar da Silva, Fernanda Baia˜o, Kate Revoredo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130
OAEI 2016 results of AML
Daniel Faria, Catia Pesquita, Booma S. Balasubramani,
Catarina Martins, Joa˜o Cardoso, Hugo Curado,
Francisco Couto, Isabel Cruz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138
CroLOM: cross-lingual ontology matching system results for OAEI 2016
Abderrahmane Khiat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146
CroMatcher results for OAEI 2016
Marko Gulic´, Boris Vrdoljak, Marko Banek . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153
DisMatch results for OAEI 2016
Maciej Rybin´ski, Mar´ıa del Mar Rolda´n-Garc´ıa,
Jose´ Garc´ıa-Nieto, Jose´ F. Aldana-Montes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161
DKP-AOM: results for OAEI 2016
Muhammad Fahad . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166
FCA-Map results for OAEI 2016
Mengyi Zhao, Songmao Zhang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172
Lily Results for OAEI 2016
Peng Wang, Wenyu Wang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178
LogMap family participation in the OAEI 2016
Ernesto Jime´nez-Ruiz, Bernardo Cuenca Grau, Valerie Cross . . . . . . . . . . . . . . . . . . 185
LPHOM results for OAEI 2016
Imen Megdiche, Olivier Teste, Ca´ssia Trojahn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190
LYAM++ results for OAEI 2016
Abdel Nasser Tigrine, Zohra Bellahsene, Konstantin Todorov . . . . . . . . . . . . . . . . . . 196
Integrating phenotype ontologies with PhenomeNET
Miguel Angel Rodr´ıguez Garc´ıa, Georgios V. Gkoutos,
Paul N. Schofield, Robert Hoehndorf . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201
RiMOM Results for OAEI 2016
Yan Zhang, Hailong Jin, Liangming Pan, Juanzi Li . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210
SimCat Results for OAEI 2016
Abderrahmane Khiat, Elhabib Abdelillah Ouhiba,
Mohammed Amine Belfedhal, Chihab Eddine Zoua . . . . . . . . . . . . . . . . . . . . . . . . . . . 217
Annotating web tables through ontology matching
Vasilis Efthymiou, Oktie Hassanzadeh, Mohammad Sadoghi,
Mariano Rodriguez-Muro . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229
Ontology matching evaluation: a statistical perspective
Majid Mohammadi, Wout Hofman, Yao-hua Tan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231
Instance matching benchmark for spatial data: a challenge proposal to OAEI
Irini Fundulaki, Axel-Cyrille Ngonga-Ngomo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233
Lion’s Den: feeding the LinkLion
Mohamed Ahmed Sherif, Mofeed M. Hassan,
Tommaso Soru, Axel-Cyrille Ngonga Ngomo, Jens Lehmann . . . . . . . . . . . . . . . . . . . 235
Matching Instances in GeoLink
Michelle Cheatham, Reihaneh Amini, Chandan Patel . . . . . . . . . . . . . . . . . . . . . . . . . . 237
Toward better debugging support on extended SPARQL queries
with on-the-fly ontology mapping generation
Takuya Adachi, Naoki Fukuta . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239
Quality checking and matching linked dictionary data
Kun Ji, Shanshan Wang, Lauri Carlson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241
Exploiting ontology matching to support reuse
in PURO-started ontology development
Marek Duda´sˇ, Ondrˇej Zamazal, Vojteˇch Sva´tek . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243</p>
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