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[CFP] Special Issue on the Semantic Web Journal - Semantic Web for Industrial Engineering: Research and Applications

From: María Poveda <mpoveda@fi.upm.es>
Date: Tue, 29 Jun 2021 20:27:56 +0200
Message-ID: <CA+mx6Z2xLLH43AR1+DVK-N3rdbEgbY5KawgeYJ40RF57p+qAVQ@mail.gmail.com>
To: Semantic Web <semantic-web@w3.org>
Dear semantic web colleagues,

 Let me share this CFP for the Semantic Web Journal with you.

Best regards,

María

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Call for paper (CFP) on the Semantic Web Journal (IOS Press)
Semantic Web for Industrial Engineering: Research and Applications

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Important information:

   -

   Submission deadline: November 10, 2021 (papers submitted before the
   deadline will be reviewed upon receipt)
   -

   Contact information:
   semantic-web-for-industrial-engineering-swj@googlegroups.com
   -

   Webpage:
   http://www.semantic-web-journal.net/blog/call-papers-special-issue-semantic-web-industrial-engineering-research-and-applications
   <http://www.semantic-web-journal.net/blog/call-papers-special-issue-semantic-web-industrial-engineering-research-and-applications>

Guest editors:

   -

   Bahar Aameri, University of Toronto
   -

   María Poveda-Villalón, Universidad Politécnica de Madrid, Spain
   -

   Emilio M. Sanfilippo, ISTC-CNR Laboratory for Applied Ontology, Italy
   -

   Walter Terkaj, STIIMA-CNR, Italy

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

The Semantic Web is increasingly used for research and applications in
industrial engineering covering several tasks related to knowledge-based
data management. It is sufficient to recall worldwide efforts related to
Industry 4.0 aimed at the development of industrial environments where
machines are designed to smoothly interact between themselves and with
humans via knowledge models. At the same time, however, practitioners and
stakeholders lack methodologies and guidelines to reliably develop, use or
integrate (existing) ontologies. In addition, when ontologies are developed
within specific application contexts, they are hardly accessible and
reusable by third-parties. Recent initiatives like (the European project)
OntoCommons <https://ontocommons.eu/>, the Industry Ontologies Foundry (IOF)
<https://www.industrialontologies.org/>, and the UK National Digital Twins
<https://www.cdbb.cam.ac.uk/what-we-do/national-digital-twin-programme>,
among others, attempt to improve this situation, e.g., by collecting
methodologies, ontologies, and tools to facilitate the exploitation of the
Semantic Web for industrial needs.

The purpose of the Special Issue is to collect contributions on the use of
Semantic Web languages and technologies within industrial engineering areas
such as discrete manufacturing (e.g., aerospace, automotive, machinery,
electronics), continuous production (e.g., chemical engineering, oil and
gas industry), product design, Architecture, Engineering and Construction
(AEC), among others.

Topics relevant to this special issue include, but are not limited to, the
following:

   -

   Research and application challenges for the industrial exploitation of
   Semantic Web languages and technologies, including Industry 4.0 scenarios.
   -

   Semantic Web as an enabler for Digital Twin applications in industry.
   -

   Semantic Web frameworks (including frameworks adopting the FAIR
   principles) for knowledge-based industrial data management, covering tasks
   such as data modeling, sharing, integration, systems interoperability,
   reasoning about data and knowledge.
   -

   Data analysis workflows supported by the Semantic Web.
   -

   Novel technologies for Semantic Web applications in industry.
   -

   Bridging methods between Machine Learning and the Semantic Web tuned to
   industrial engineering.
   -

   Real cases of successful/unsuccessful use of the Semantic Web in
   industrial engineering applications
   -

   Ontologies for knowledge representation and reasoning about topics
   relevant for industrial engineering (e.g., products, processes,
   manufacturing resources, requirements and capabilities, etc.).
   -

   Ontology-based patterns for industrial engineering knowledge
   representation.
   -

   Methodologies, methods, and techniques targeted to industrial contexts
   supporting the development, modularization, extension, and evolution of
   ontologies.
   -

   Literature review of existing ontologies for industrial engineering,
   including structured comparisons.
   -

   Experiences with the use of top-level ontologies (e.g. BFO, DOLCE, ISO
   15926, among others) in industrial engineering.
   -

   Experiences with research and application initiatives such as
   OntoCommons, the Industry Ontologies Foundry (IOF), and the UK National
   Digital Twins.



++++++++++++++++++++
Author Guidelines
++++++++++++++++++++

Submissions shall be made through the Semantic Web journal website at
http://www.semantic-web-journal.net. Prospective authors must take notice
of the submission guidelines posted at
http://www.semantic-web-journal.net/authors.

We welcome four main types of submissions: (i) full research papers, (ii)
reports on tools and systems, (iii) application reports, and (iv) survey
articles. The description of the submission types is posted at
http://www.semantic-web-journal.net/authors#types. While there is no upper
limit, paper length must be justified by content.

Extended versions of manuscripts published in conferences and workshops are
welcome as long as the previous publications are clearly acknowledged and
the new submission introduces substantial revisions and updates.

Note that you need to request an account on the website for submitting a
paper. Please indicate in the cover letter that it is for the "Semantic Web
for Industrial Engineering: Research and Applications" special issue. All
manuscripts will be reviewed based on the SWJ open and transparent review
policy and will be made available online during the review process.

Also note that the Semantic Web journal is open access(
http://www.semantic-web-journal.net/blog/open-access-swj-going-gold).

Finally please note that submissions must comply with the journal’s Open
Science Data requirements, which are detailed in
http://www.semantic-web-journal.net/blog/open-science-data-impending-changes-review-process-semantic-web-journal
.


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Guest editorial board(to be expanded)
++++++++++++++++++++

João Paulo A. Almeida, Federal University of Espírito Santo, Brasil

Farhad Ameri, Texas State University, USA

Stefano Borgo, ISTC-CNR Laboratory for Applied Ontology, Italy

Jean Paul Calbimonte Pérez, HES-SO University of Applied Sciences and Arts,
Switzerland

Hyunmin Cheong, Autodesk Research, Canada

Andrea Cimino, Universidad Politécnica de Madrid, Spain

Daniel Garijo, Universidad Politécnica de Madrid, Spain

Iker Esnaola-Gonzalez, TEKNIKER, Spain

Eeva Järvenpää, Tampere University of Technology, Finland

Kim Kyoung-Yun, Wayne State University, USA

Maxime Lefrançois, Mines Saint Etienne, France

Pieter Pauwels, Eindhoven University of Technology, Netherlands

Lorenzo Solano, Polytechnic University of Valencia, Spain

Marcela Vegetti, CONICET, Argentina

Bob Young, Loughborough University, UK

Cecilia Zanni-Merk, INSA Rouen Normandie, France

Dušan Sormaz, Ohio University, USA


-- 
María Poveda Villalón, PhD
Assistant Professor, Artificial Intelligence Department
Ontology Engineering Group (OEG)
Universidad Politécnica de Madrid, Spain

e-mail: mpoveda@fi.upm.es
blog: http://thepetiteontologist.wordpress.com/
tlf: +34 910672889
Received on Tuesday, 29 June 2021 18:28:38 UTC

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