The Sixteenth International Workshop on
                         ONTOLOGY MATCHING
                          October 25th, 2021,
   International Semantic Web Conference (ISWC) Workshop Program,
                         VIRTUAL CONFERENCE

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:
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.

To conduct an extensive and rigorous evaluation of ontology matching
and instance matching (link discovery) approaches through
the OAEI (Ontology Alignment Evaluation Initiative) 2021 campaign:

To examine similarities and differences from other, old, new and emerging,
techniques and usages, such as web table matching or knowledge embeddings.

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, open, closed data);
    Requirements to matching from specific application scenarios (e.g., public sector, homeland security);
    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).

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 2021 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:
and should be submitted in PDF format (no later than August 9th, 2021)
through the workshop submission site at:


Contributors to the OAEI 2021 campaign have to follow the campaign conditions
and schedule at http://oaei.ontologymatching.org/2021/.

    August 9th, 2021: Deadline for the submission of papers.
    September 6th, 2021: Deadline for the notification of acceptance/rejection.
    September 20th, 2021: Workshop camera ready copy submission.
    October 25th, 2021: OM-2021,  Virtual Conference.

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.

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, INRIA & Univ. Grenoble Alpes, France
Zohra Bellahsene, LIRMM, France
Jiaoyan Chen, University of Oxford, UK
Valerie Cross, Miami University, USA
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, Heriot Watt University, UK
Peter Mork, MITRE, USA
Axel Ngonga, University of Paderborn, Germany
George Papadakis, University of Athens, Greece
Catia Pesquita, University of Lisbon, Portugal
Henry Rosales-Méndez, University of Chile, Chile
Kavitha Srinivas, IBM, USA
Pedro Szekely, University of Southern California, USA
Valentina Tamma, University of Liverpool, UK
Ludger van Elst, DFKI, Germany
Xingsi Xue, Fujian University of Technology, China
Ondrej Zamazal, Prague University of Economics, Czech Republic

More about ontology matching:
Best Regards,
Pavel Shvaiko, PhD
Trentino Digitale, Italy

Cap. Soc. Euro 6.433.680,00 - REG. IMP. / C.F. / P.IVA 00990320228
E-mail: tndigit@tndigit.it - www.trentinodigitale.it
Società soggetta ad attività di direzione e coordinamento da parte della Provincia Autonoma di Trento - C.Fisc. 00337460224.
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