The Thirteenth International Workshop on Ontology Matching

Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful technique 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 interlinking, query answering or process mapping. Thus, matching ontologies enables the knowledge and data expressed with the matched ontologies to interoperate.

Audience:

The workshop encourages participation from academia, industry and user institutions with the emphasis on theoretical and practical aspects of ontology matching. On the one side, we expect representatives from industry and user organizations to present business cases and their requirements for ontology matching. On the other side, we expect academic participants to present their approaches vis-a-vis those requirements. The workshop provides an informal setting for researchers and practitioners from different related initiatives to meet and benefit from each other's work and requirements.

This year, in sync with the main conference, we encourage submissions specifically devoted to: (i) datasets, benchmarks and replication studies, services, software, methodologies, protocols and measures (not necessarily related to OAEI), and (ii) application of the matching technology in real-life scenarios and assessment of its usefulness to the final users.

Topics of interest include but are not limited to:

• Business and use cases for matching (e.g., big and open data);
• Requirements to matching from specific application scenarios (e.g., energy, public sector);
• Application of matching techniques in real-world scenarios (e.g., with mobile apps);
• Formal foundations and frameworks for matching;
• Matching knowledge graphs;
• Matching and big data;
• Matching and linked data;
• Instance matching, data interlinking and relations between them;
• Process model matching;
• Large-scale and efficient matching techniques;
• Matcher selection, combination and tuning;
• User involvement (including both technical and organizational aspects);
• Explanations in matching;
• Social and collaborative matching;
• Uncertainty in matching;
• Reasoning with alignments;
• Alignment coherence and debugging;
• Alignment management;
• Matching for traditional applications (e.g., information integration);
• Matching for emerging applications (e.g., search, web-services).

Contributions to the workshop can be made in terms of technical papers and posters/statements of interest addressing different issues of ontology matching as well as participating in the OAEI 2018 campaign. Long technical papers should be not longer than 12 pages using the LNCS Style. Short technical papers should be of max. 5 pages. Posters/statements of interest should not exceed 2 pages and should be handled according to the guidelines for technical papers. All contributions should be prepared in PDF format and should be submitted (no later than June 4th, 2018) through the workshop submission site at:

https://www.easychair.org/conferences/?conf=om2018

Contributors to the OAEI 2018 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2018/.

Long Technical Papers:

• Matching domain and top-level ontologies exploring word sense disambiguation and word embedding *
  Daniela Schmidt, Rafael Basso, Cássia Trojahn, Renata Vieira
• We divide, you conquer: from large-scale ontology alignment to manageable subtasks with a lexical index and neural embeddings
  Ernesto Jiménez-Ruiz, Asan Agibetov, Matthias Samwald, Valerie Cross
• Interactive ontology matching: using expert feedback to select attribute mappings
  Jomar Silva, Kate Revoredo, Fernanda Baião, Jérôme Euzenat
• Ontology augmentation through matching with web tables
  Oliver Lehmberg, Oktie Hassanzadeh
• Introducing the HOBBIT platform into the ontology alignment evaluation campaign
  Ernesto Jiménez-Ruiz, Tzanina Saveta, Ondřej Zamazal, Sven Hertling, Michael Röder, Irini Fundulaki, Axel-Cyrille Ngonga Ngomo, Mohamed Ahmed Sherif, Amina Annane, Zohra Bellahsene, Sadok Ben Yahia, Gayo Diallo, Daniel Faria, Marouen Kachroudi, Abderrahmane Khiat, Patrick Lambrix, Huanyu Li, Maximilian Mackeprang, Majid Mohammadi, Maciej Rybinski, Booma Sowkarthiga Balasubramani, Cássia Trojahn

Organizing Committee:

• Pavel Shvaiko (Main contact)
  Trentino Digitale, Italy
  E-mail: pavel [dot] shvaiko [at] tndigit [dot] it
• Jérôme Euzenat
  INRIA & Univ. Grenoble Alpes, France
  
• Ernesto Jiménez-Ruiz
  The Alan Turing Institute, UK & University of Oslo, Norway
• Michelle Cheatham
  Wright State University, USA
• Oktie Hassanzadeh
  IBM Research, USA

Program Committee:

• Alsayed Algergawy, Jena University, Germany
• Manuel Atencia, INRIA & Univ. Grenoble Alpes, France
• Zohra Bellahsene, LIRMM, France
• Marco Combetto, Trentino Digitale, Italy
• Valerie Cross, Miami University, USA
• Jérôme David, University Grenoble Alpes & INRIA, France
• Gayo Diallo, University of Bordeaux, France
• Warith Eddine Djeddi, LIPAH & LABGED, Tunisia
• Zlatan Dragisic, private individual, Sweden
• Daniel Faria, Instituto Gulbenkian de Ciéncia, Portugal
• Alfio Ferrara, University of Milan, Italy
• Wei Hu, Nanjing University, China
• Ryutaro Ichise, National Institute of Informatics, Japan
• Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
• Marouen Kachroudi, Université de Tunis El Manar, Tunis
• Patrick Lambrix, Linköpings Universitet, Sweden
• Vincenzo Maltese, University of Trento, Italy
• Fiona McNeill, University of Edinburgh, UK
• Christian Meilicke, University of Mannheim, Germany
• Peter Mork, MITRE, USA
• Andriy Nikolov, Metaphacts GmbH, Germany
• Axel Ngonga, University of Paderborn, Germany
• Catia Pesquita, University of Lisbon, Portugal
• Umberto Straccia, ISTI-C.N.R., Italy
• Cássia Trojahn, IRIT, France
• Ludger van Elst, DFKI, Germany
• Ondřej Zamazal, Prague University of Economics, Czech Republic

Acknowledgements: