The Seventeenth International Workshop on
ONTOLOGY MATCHING
(OM-2022)
http://om2022.ontologymatching.org/
October 23rd or 24th, 2022,
International Semantic Web Conference (ISWC) Workshop Program,
Hybrid conference, Hangzhou, China
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 navigation over knowledge
graphs.
Thus, matching ontologies enables the knowledge and data expressed
with 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, knowledge graph 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) 2022 campaign:
http://oaei.ontologymatching.org/2022/
3.
To examine similarities and differences from other, old, new and emerging,
techniques and usages, such as web table matching or knowledge embeddings.
TOPICS of interest include but are not limited to:
Business and use cases for matching (e.g., big, open, closed data);
Requirements to matching from specific application scenarios (e.g.,
public sector);
Application of matching techniques in real-world scenarios (e.g., in
cloud, with mobile apps);
Formal foundations and frameworks for matching;
Novel matching methods, including link prediction, ontology-based
access;
Matching and knowledge graphs;
Matching and deep learning;
Matching and embeddings;
Matching and big data;
Matching and linked data;
Instance matching, data interlinking and relations between them;
Privacy-aware matching;
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;
Expressive alignments;
Reasoning with alignments;
Alignment coherence and debugging;
Alignment management;
Matching for traditional applications (e.g., data science);
Matching for emerging applications (e.g., web tables, knowledge graphs).
SUBMISSIONS
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 2022 campaign. Long technical papers
should
be of max. 12 pages. Short technical papers should be of max. 5 pages.
Posters/statements of interest should not exceed 2 pages.
All contributions have to be prepared using the LNCS Style:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
and should be submitted in PDF format (no later than August 9th, 2022)
through the workshop submission site at:
https://www.easychair.org/conferences/?conf=om2022
Contributors to the OAEI 2022 campaign have to follow the campaign
conditions
and schedule at
http://oaei.ontologymatching.org/2022/.
DATES FOR TECHNICAL PAPERS AND POSTERS:
August 9th, 2022: Deadline for the submission of papers.
September 6th, 2022: Deadline for the notification of
acceptance/rejection.
September 20th, 2022: Workshop camera ready copy submission.
October 23rd or 24th, 2022: OM-2022, hybrid conference, Hangzhou,
China.
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.
ORGANIZING COMMITTEE
1. Pavel Shvaiko (main contact)
Trentino Digitale, Italy
2. Jérôme Euzenat
INRIA & Univ. Grenoble Alpes, France
3. Ernesto Jiménez-Ruiz
City, University of London, UK & SIRIUS, University of Oslo, Norway
4. Oktie Hassanzadeh
IBM Research, USA
5. Cássia Trojahn
IRIT, France
PROGRAM COMMITTEE (to be completed):
Alsayed Algergawy, Jena University, Germany
Manuel Atencia, Universidad de Málaga, Spain
Jiaoyan Chen, University of Oxford, UK
Jérôme David, University Grenoble Alpes & INRIA, France
Gayo Diallo, University of Bordeaux, France
Daniel Faria, Instituto Gulbenkian de Ciéncia, Portugal
Alfio Ferrara, University of Milan, Italy
Marko Gulic, University of Rijeka, Croatia
Wei Hu, Nanjing University, China
Ryutaro Ichise, National Institute of Informatics, Japan
Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
Naouel Karam, Fraunhofer, Germany
Prodromos Kolyvakis, EPFL, Switzerland
Patrick Lambrix, Linköpings Universitet, Sweden
Oliver Lehmberg, University of Mannheim, Germany
Fiona McNeill, University of Edinburgh, UK
Majid Mohammadi, Eindhoven University of Technology, Netherlands
Hoa Ngo, CSIRO, Australia
George Papadakis, University of Athens, Greece
Henry Rosales-Méndez, University of Chile, Chile
Booma Sowkarthiga, Microsoft, USA
Kavitha Srinivas, IBM, USA
Ludger van Elst, DFKI, Germany
Xingsi Xue, Fujian University of Technology, China
Ondrej Zamazal, Prague University of Economics, Czech Republic
Songmao Zhang, Chinese Academy of Science, China
Lu Zhou, TigerGraph, USA
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More about ontology matching:
http://www.ontologymatching.org/
http://book.ontologymatching.org/
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Best Regards,
Pavel
-------------------------------------------------------
Pavel Shvaiko, PhD
Trentino Digitale, Italy
http://www.ontologymatching.org/
https://www.trentinodigitale.it/
http://www.dit.unitn.it/~pavel
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