[PlanetKR] CFP Special Issue Ontology Manufacturing
Emilio Sanfilippo
emiliosanfilippo at gmail.com
Fri Dec 1 04:03:00 EST 2017
Special Issue of Applied Ontology
<https://www.iospress.nl/journal/applied-ontology/>on:
Formal ontologies in manufacturing
Guest editors: Bob Young, Yoshinobu Kitamura and Emilio M. Sanfilippo
++++++++++++++++++++++
*Important Dates:*
* Notification of intent to submit: 31 January 2018 (email to Emilio
Sanfilippo andYoshinobu Kitamura);
* Full paper due for review: 1 May 2018;
* Notification of review decision: 30 June 2018;
* Revised manuscript submission: 15 September 2018;
* Final decision: 15 October 2018
* Expected date of publication: November/December 2018
++++++++++++++++++++++
Manufacturing’s ever present drive to be “better, faster and cheaper” is
recognising the potential value to be achieved through the better
sharing of cross-disciplinary information and the effective exploitation
of new advances based on Artificial Intelligence techniques. The ideas,
methods and technologies at the grounds of Industrie 4.0, Smart
Manufacture and the Internet of Things are revolutionising the manner in
which goods are produced, and data are collected, organised, analysed
and integrated. For manufacturing drivers to achieve real value they
require the underlying technological support; the resolution of a range
of ontological issues are critical to manufacturing success.
The purpose of this special issue is to provide a contribution to the
application of ontology in manufacturing. The papers accepted for
publication will show a trade-off between conceptual analysis, formal
representation and application potential to the manufacturing domain.
According to the overall philosophy of Applied Ontology, authors will
need to explicitly introduce and motivate their modelling choices,
present a formal treatment of the knowledge at stake (in the formal
language they prefer), and address how the presented work can be used in
manufacturing scenarios.
List of potential topics(the list is not exhaustive):
*
Ontology-based representation of processes, including production
processes exploiting emergent technologies like additive and hybrid
manufacturing, but also machining processes, logistic processes,
among others;
*
Integration of ontologies and ontology-based technologies with
manufacturing information systems to manage, monitor, optimise or
simulate processes;
*
Ontology-based representation of manufacturing resources, including
agent-based resources and robots;
*
Ontology-based representation of manufacturing services, e.g.,
cloud-based services;
*
Ontologies addressing context-driven data management and knowledge
representation;
*
Ontology-based representation of manufacturing systems as
socio-technical systems;
*
Ontology-based representation of cyber-physical systems;
*
Formal representation of assembly relations based on
mereo-topological theories extended with domain knowledge to capture
engineering relevant constraints;
*
Core ontologies for manufacturing based on foundational ontologies;
*
Ontology-based patterns for the representation of manufacturing
knowledge;
*
Open challenges about the ontological representation of
manufacturing knowledge.
Publication schedule:
*
Notification of intent to submit: 31 January 2018 (email to Emilio
Sanfilippo andYoshinobu Kitamura);
*
Full paper due for review: 1 May 2018;
*
Notification of review decision: 30 June 2018;
*
Revised manuscript submission: 15 September 2018;
*
Final decision: 15 October 2018
*
Expected date of publication: November/December 2018
Papers are to be submitted non-anonymouslyfollowing the guidelines at:
https://www.iospress.nl/journal/applied-ontology/
Please specify in an attached cover letter that the paper is submitted
to the Special Issue: Formal ontologies in manufacturing.
Why Applied Ontology
Applied Ontology (AO) is the flagship journal of the International
Association for Ontology and its Application (IAOA). Differently from
other journals, AO promotes scientific articles that promote the
development of ontologies based on principled and robust modelling
choices. In line with the spirit of AO, with this special issue, we aim
at dealing with the modelling challenges of manufacturing by profiting
of the theoretical, formal and interdisciplinary techniques of Ontology
Engineering.
Guest Editors
Bob Young is Visiting Professor of Manufacturing Informatics in the
Wolfson School of Mechanical, Electrical and Manufacturing Engineering
at Loughborough University in the UK. He has some 40 years experience in
new product development and manufacturing engineering, working both in
UK industry and in academia. Prof Young’s research has been funded
directly by industry, by UK funding agencies and by the EU. As well as
support for industry, his work has led to around 200 research
publications and some 20 PhD completions. His research is focused on
exploiting advanced Information and Communications Technologies to aid
multi-disciplinary teams of engineers in their decision-making through
the provision of timely, high quality information and knowledge. To that
end his research in recent years has been heavily focused towards the
development and use of formal ontologies as a basis for effective
knowledge sharing and interoperability in manufacturing.
Contact: R.I.Young at lboro.ac.uk <mailto:R.I.Young at lboro.ac.uk>
Yoshinobu Kitamura is a professor at the College of Information Science
and Engineering, Ritsumeikan University, Japan. He has been active in
the ontology-based engineering knowledge research field since 1995,
developing a strongly interdisciplinary approach that combines together
Ontological Engineering and Engineering Design, on the basis of
collaborative research with industry. He has published around 80
research publications in international journals and conferences both in
the Ontological Engineering field such as AO and FOIS and in the
Engineering Design field such as JED, ICED and ASME/IDETC.
Contact: y-kita at fc.ritsumei.ac.jp
<mailto:y-kita at fc.ritsumei.ac.jp><mailto:Emilio.Sanfilippo at ls2n.fr>
Emilio M. Sanfilippo is post-doc researcher at the Laboratory of Digital
Sciences (LS2N) at CNRS (France). His research focuses on Ontology
Engineering to support product lifecycle information modeling with a
specific target on design and manufacturing. He is part of the Technical
Oversight Board of the Industry Ontology Foundry (IOF), an initiative
led by the U.S. NIST to promote the development and application of
well-founded ontologies in industry. In September 2017, he co-chaired
the 8th International Workshop on Formal Ontologies meet Industry (FOMI).
Contact: Emilio.Sanfilippo at ls2n.fr <mailto:Emilio.Sanfilippo at ls2n.fr>
--
Emilio M. Sanfilippo, Ph.D.,
Laboratoire des Sciences du Numérique de Nantes (LS2N),
Centre National de la Recherche Scientifique (CNRS),
44300 Nantes, France
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