[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 

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


    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


    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:


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 

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

-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://discuss.it.uts.edu.au/pipermail/planetkr/attachments/20171130/c14d23b2/attachment-0001.html 
-------------- next part --------------
A non-text attachment was scrubbed...
Name: CFP Applied Ontology Manufacturing.pdf
Type: application/pdf
Size: 83905 bytes
Desc: not available
Url : http://discuss.it.uts.edu.au/pipermail/planetkr/attachments/20171130/c14d23b2/attachment-0001.pdf 

More information about the PlanetKR mailing list