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|id=Vol-1545/om2015_preface
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1545/om2015_preface.pdf
|volume=Vol-1545
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==None==
https://ceur-ws.org/Vol-1545/om2015_preface.pdf
Ontology Matching
OM-2015
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 in the matched ontologies to in-
teroperate.
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) 2015 campaign2 . Besides specific real-world match-
ing tasks such as the one involving large biomedical ontologies, OAEI-2015 in-
troduced linked data benchmarks. Therefore, 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.
The program committee selected 3 long and 5 short submissions for oral presenta-
tion and 9 submissions for poster presentation. 22 matching systems participated in this
year’s OAEI campaign. Further information about the Ontology Matching workshop
can be found at: http://om2015.ontologymatching.org/.
1 http://www.ontologymatching.org/
2 http://oaei.ontologymatching.org/2015
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 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
Ernesto Jiménez-Ruiz
Michelle Cheatham
Oktie Hassanzadeh
October 2015
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, Informatica Trentina SpA, Italy
Jérôme Euzenat, INRIA & University Grenoble Alpes, France
Ernesto Jiménez-Ruiz, University of Oxford, UK
Michelle Cheatham, Wright State University, USA
Oktie Hassanzadeh, IBM Research, USA
Program Committee
Alsayed Algergawy, Jena University, Germany
Michele Barbera, Spazio Dati, Italy
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
Jérôme David, University Grenoble Alpes & INRIA, France
Warith Eddine Djeddi, LIPAH & LABGED, Tunisia
Alfio Ferrara, University of Milan, Italy
Fausto Giunchiglia, University of Trento, Italy
Wei Hu, Nanjing University, China
Ryutaro Ichise, National Institute of Informatics, Japan
Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
Daniel Faria, Instituto Gulbenkian de Ciência, Portugal
Patrick Lambrix, Linköpings Universitet, Sweden
Nico Lavarini, Expert System, Italy
Vincenzo Maltese, University of Trento, Italy
Robert Meusel, University of Mannheim, Germany
Fiona McNeill, University of Edinburgh, UK
Christian Meilicke, University of Mannheim, Germany
Peter Mork, Noblis, USA
Andriy Nikolov, Open University, UK
Axel Ngonga, University of Leipzig, Germany
Leo Obrst, The MITRE Corporation, USA
Heiko Paulheim, University of Mannheim, Germany
Andrea Perego, European Commission - Joint Research Centre, Italy
Catia Pesquita, University of Lisbon, Portugal
Dominique Ritze, University of Mannheim, Germany
Alessandro Solimando, University of Genova, Italy
Kavitha Srinivas, IBM, USA
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Umberto Straccia, ISTI-C.N.R., Italy
Ondřej Svab-Zamazal, Prague University of Economics, Czech Republic
Cássia Trojahn, IRIT, France
Lorenzino Vaccari, European Commission - Joint Research Center, Italy
Ludger van Elst, DFKI, Germany
Shenghui Wang, Vrije Universiteit Amsterdam, Netherlands
Songmao Zhang, Chinese Academy of Sciences, China
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Table of Contents
Long Technical Papers
New paradigm for alignment extraction
Christian Meilicke, Heiner Stuckenschmidt . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
A multilingual ontology matcher
Gábor Bella, Fausto Giunchiglia, Ahmed AbuRa’edy, Fiona McNeill . . . . . . . . . . . . . 13
Understanding a large corpus of web tables
through matching with knowledge bases: an empirical study
Oktie Hassanzadeh, Michael J. Ward,
Mariano Rodriguez-Muro, Kavitha Srinivas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Short Technical Papers
Combining sum-product network and noisy-or model
for ontology matching
Weizhuo Li . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Towards combining ontology matchers via anomaly detection
Alexander C. Müller, Heiko Paulheim . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
User involvement in ontology Matching
using an online active learning approach
Booma S. Balasubramani, Aynaz Taheri, Isabel F. Cruz . . . . . . . . . . . . . . . . . . . . . . . . . 45
ADOM: arabic dataset for evaluating arabic and
cross-lingual ontology alignment systems
Abderrahmane Khiat, Moussa Benaissa, Ernesto Jiménez-Ruiz . . . . . . . . . . . . . . . . . . 50
Ontology matching for big data applications
in the smart dairy farming domain
Jack P.C. Verhoosel, Michael van Bekkum, Frits K. van Evert . . . . . . . . . . . . . . . . . . . . 55
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OAEI Papers
Results of the Ontology Alignment Evaluation Initiative 2015
Michelle Cheatham, Zlatan Dragisic, Jérôme Euzenat, Daniel Faria,
Alfio Ferrara, Giorgos Flouris, Irini Fundulaki, Roger Granada,
Valentina Ivanova, Ernesto Jiménez-Ruiz, Patrick Lambrix,
Stefano Montanelli, Catia Pesquita, Tzanina Saveta,
Pavel Shvaiko, Alessandro Solimando, Cássia Trojahn, Ondřej Zamazal . . . . . . . . . 60
AML results for OAEI 2015
Daniel Faria, Catarina Martins, Amruta Nanavaty,
Daniela Oliveira, Booma Sowkarthiga, Aynaz Taheri,
Catia Pesquita, Francisco Couto, Isabel Cruz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116
CLONA results for OAEI 2015
Mariem El Abdi, Hazem Souid, Marouen Kachroudi,
Sadok Ben Yahia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124
CroMatcher results for OAEI 2015
Marko Gulić, Boris Vrdoljak, Marko Banek . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130
DKP-AOM: results for OAEI 2015
Muhammad Fahad . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136
EXONA results for OAEI 2015
Syrine Damak, Hazem Souid, Marouen Kachroudi, Sami Zghal . . . . . . . . . . . . . . . . . 145
GMap: results for OAEI 2015
Weizhuo Li, Qilin Sun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150
InsMT+ results for OAEI 2015 instance matching
Abderrahmane Khiat, Moussa Benaissa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158
Lily results for OAEI 2015
Wenyu Wang, Peng Wang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162
LogMap family results for OAEI 2015
Ernesto Jiménez-Ruiz-Ruiz, Bernardo Cuenca Grau,
Alessandro Solimando, Valerie Cross . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171
LYAM++ results for OAEI 2015
Abdel Nasser Tigrine, Zohra Bellahsene, Konstantin Todorov . . . . . . . . . . . . . . . . . . 176
MAMBA - results for the OAEI 2015
Christian Meilicke . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181
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RiMOM results for OAEI 2015
Yan Zhang, Juanzi Li . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185
RSDL workbench results for OAEI 2015
Simon Schwichtenberg, Gregor Engels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192
ServOMBI at OAEI 2015
Nouha Kheder, Gayo Diallo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200
STRIM results for OAEI 2015 instance matching evaluation
Abderrahmane Khiat, Moussa Benaissa,
Mohammed Amine Belfedhal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208
XMap: results for OAEI 2015
Warith Eddine Djeddi, Mohamed Tarek Khadir,
Sadok Ben Yahia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216
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Posters
Instance-based property matching in linked open data environment
Cheng Xie, Dominique Ritze, Blerina Spahiu, Hongming Cai . . . . . . . . . . . . . . . . . . . 222
RinsMatch: a suggestion-based instance matching system
in RDF Graphs
Mehmet Aydar, Austin Melton . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224
Triple-based similarity propagation for linked data matching
Eun-Kyung Kim, Sangha Nam, Jongsung Woo,
Sejin Nam, Key-Sun Choi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226
An effective configuration learning algorithm
for entity resolution
Khai Nguyen, Ryutaro Ichise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228
Search-space reduction for post-matching
correspondence provisioning
Thomas Kowark, Hasso Plattner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230
Automatic mapping of Wikipedia categories into OpenCyc types
Aleksander Smywiński-Pohl, Krzysztof Wróbel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232
Exploiting multilinguality for ontology matching purposes
Mauro Dragoni . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234
Ontology matching techniques for enterprise architecture models
Marzieh Bakhshandeh, Catia Pesquita, José Borbinha . . . . . . . . . . . . . . . . . . . . . . . . . 236
MOSEW: a tool suite for service enabled work
Mostafijur Rahman, Wendy MacCaull . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238
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