BRIEF DESCRIPTION AND OBJECTIVES
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
in the matched ontologies to interoperate.
The workshop has three goals:
1. 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 final user needs, and therefore, direct research towards those needs. Simultaneously, the workshop will serve to inform industry and user representatives about existing research efforts that may meet their requirements. The workshop will also investigate how the ontology matching technology is going to evolve, especially with respect to data interlinking, process mapping and web table matching tasks.
2. To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2018 campaign:
3. 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. 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.
Call for paper
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.
Topics of interest include but are not limited to:
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. Technical papers should be not longer than 12 pages using the LNCS Style. 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 July 28th, 2018) through the workshop submission site at:
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. Technical papers should be not longer than 12 pages using the LNCS Style:http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 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 through the workshop submission site at:
Contributors to the OAEI 2018 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2018.
Contributions will be refereed by the Program Committee. Accepted papers will be published in the workshop proceedings as a volume of CEUR-WS as well as indexed on DBLP.
The extended versions of the best technical papers of the workshop will be invited to the Knowledge Engineering Review journal: http://oaei.ontologymatching.org/2017.5/special_issue.html
- Pavel Shvaiko (Main contact)
Informatica Trentina, Italy
E-mail: pavel [dot] shvaiko [at] infotn [dot] it
- Jérôme Euzenat
INRIA & Univ. Grenoble Alpes, France
- Ernesto Jiménez-Ruiz
University of Oslo, Norway
- Michelle Cheatham
Wright State University, USA
- Oktie Hassanzadeh
IBM Research, USA
- Alsayed Algergawy, Jena University, Germany
- Manuel Atencia, INRIA & Univ. Grenoble Alpes, France
- Zohra Bellahsene, LRIMM, France
- 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, private individual, Sweden
- Alfio Ferrara, University of Milan, Italy
- Wei Hu, Nanjing University, China
- Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
- Ryutaro Ichise, National Institute of Informatics, Japan
- Daniel Faria, Instituto Gulbenkian de Ci�ncia, Portugal
- Patrick Lambrix, Linköpings Universitet, Sweden
- Vincenzo Maltese, University of Trento, Italy
- Fiona McNeill, University of Edinburgh, UK
- Christian Meilicke, University of Mannheim, DE
- Peter Mork, MITRE, USA
- Andriy Nikolov, Open University, UK
- Axel Ngonga, University of Leipzig, Germany
- Catia Pesquita, University of Lisbon, Portugal
- Umberto Straccia, ISTI-CNR, Italy
- Ondrej Svab-Zamazal, Prague University of Economics, Czech Republic
- Cássia Trojahn, IRIT, France
- Ludger van Elst, DFKI, Germany