[agents] [OM-2019] 2nd CFP: 14th workshop on Ontology Matching collocated with ISWC

Mon May 20 18:02:38 EDT 2019

... Most often we need to integrate together data sources that were not
aiming at their
integration while being designed, thus, increasing the difficulty of the
matching operation.
Even if a good progress has been made in the matching field as such,
ontology
matching may appear to be virtually impossible. Indeed, for finding the
correspondences
between entities, it is necessary to understand their meaning ...
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                            CALL FOR CONTRIBUTIONS
              THE SUBMISSION DEADLINE IS ON JUNE 28TH, 2019
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                The Fourteenth International Workshop on
                            ONTOLOGY MATCHING
                                    (OM-2019)
                     http://om2019.ontologymatching.org/
                       October 26th or 27th, 2019,
 International Semantic Web Conference (ISWC) Workshop Program,
                            Auckland, New Zealand

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
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, 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) 2019 campaign:
http://oaei.ontologymatching.org/2019/

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.

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., with
environmental data);
    Formal foundations and frameworks for matching;
    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;
    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 2019 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 June 28th, 2019)
through the workshop submission site at:

https://www.easychair.org/conferences/?conf=om2019

Contributors to the OAEI 2019 campaign have to follow the campaign
conditions
and schedule at http://oaei.ontologymatching.org/2019/.

DATES FOR TECHNICAL PAPERS AND POSTERS:
    June 28th, 2019: Deadline for the submission of papers.
    July 24th, 2019: Deadline for the notification of acceptance/rejection.
    August 26th, 2019: Workshop camera ready copy submission.
    October 26th or 27th, 2019: OM-2019,  Auckland, New Zealand.

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
The Alan Turing Institute, UK & University of Oslo, Norway

4. Oktie Hassanzadeh
IBM Research, USA

5. Cássia Trojahn
IRIT, France

PROGRAM COMMITTEE:
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
Warith Eddine Djeddi, LIPAH & LABGED, Tunisia
AnHai Doan, University of Wisconsin, USA
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
Simon Kocbek, University of Melbourne, Australia
Prodromos Kolyvakis, EPFL, Switzerland
Patrick Lambrix, Linköpings Universitet, Sweden
Oliver Lehmberg, University of Mannheim, Germany
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
George Papadakis, University of Athens, Greece
Catia Pesquita, University of Lisbon, Portugal
Henry Rosales-Méndez, University of Chile, Chile
Juan Sequeda, Capsenta, USA
Kavitha Srinivas, IBM, USA
Giorgos Stoilos, National Technical University of Athens, Greece
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
Songmao Zhang, Chinese Academy of Sciences, China
-------------------------------------------------------
More about ontology matching:
http://www.ontologymatching.org/
http://book.ontologymatching.org/
-------------------------------------------------------

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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