[hpc-announce] Final CfC: Semantic IoT: Theory and Applications - Interoperability, Provenance and Beyond

Marcin Paprzycki paprzyck at ibspan.waw.pl
Mon Oct 14 13:07:56 CDT 2019

Dear Colleague,

There are still few days to propose contribution to the following volume 
that my colleagues and myself are in the process of editing.

If you will need a few more days more, please let me know (let us 

Please note that chapter proposals that do not contain substantial 
"semantic aspect" are not acceptable.

Looking forward to your proposal,
Marcin Paprzycki, Ph.D., D.Sc.

**************** Call for Book Chapters ******************

Book Title: Semantic IoT: Theory and Applications - Interoperability, 
Provenance and Beyond

To be published in book series: “Studies in Computational Intelligence" 
by Springer


* Rajiv Pandey, Amity Institute of Information Technology, Amity 
University, Lucknow, India
(Email: rpandey at lko.amity.edu)

* Katarzyna Wasielewska-Michniewska, Systems Research Institute, Polish 
Academy of Sciences, Poland
(Email: katarzyna.wasielewska at ibspan.waw.pl)

* Subhash Bhalla, University of Aizu, Database System Laboratory, 
Fukushima, Japan
(Email: bhalla at u-aizu.ac.jp)

* Nidhi Srivastava, Amity Institute of Information Technology, Amity 
University Lucknow, India
(Email: nsrivastava2 at lko.amity.edu)

* Marcin Paprzycki, Systems Research Institute, Polish Academy of 
Science, Poland
(Email: marcin.paprzycki at ibspan.waw.pl)

With an exponentially increasing number of devices connected to the 
Internet, the Internet of Things (IoT) is spreading across multiple 
domains. The concept of IoT is realized through multiple technologies, 
such as, among others: cloud/fog/mist/dew/hybrid/edge computing. 
Consequently, with proliferation of production-class IoT deployments 
(platforms/systems/services/applications) that aim at publishing, 
consuming and analyzing data, within closed and open ecosystems, new 
challenges are being identified. Among them of great importance become: 
(i) How to build ecosystems based on data flows? (ii) How to provide 
common representation and/or shared understanding of data that will 
enable analysis across (systematically growing) ecosystems? (iii) How to 
track data provenance? (iv) How to ensure/manage trust? (v) How to 
represent data access policies that can be understood and enforced by 
different entities? (vi) How to search for things/data within 
ecosystems? Among, proposed thus far, approaches addressing these 
issues, use of semantic technologies is often considered. Specifically, 
semantic technologies materialize in the following contexts: (i) 
representation of artefacts in IoT ecosystems and IoT networks, (ii) 
representation of provenance information, enabling provenance tracking, 
trust establishment and quality assessment, (iii) representation of data 
access policies, enabling sharing policies across the ecosystem and 
inferencing rules that are not explicitly stated, (iv) semantic search, 
enabling flexible access to data originating in different places across 
the ecosystem. Finally, Semantic Web, Web of Things, Linked Open Data 
are architectural paradigms, with which the aforementioned solutions are 
to be integrated with, to provide production-ready deployments.

Even though, we can observe an uptake of solutions utilizing semantic 
technologies in the IoT domain, the number of all-known production 
deployments and success stories is not large enough to provide 
practice-grounded guidance and best practices to follow. This book shall 
present current trends in application of semantic technologies in the 
IoT domain (and related concepts of Semantic Web, Web of Things) and 
explore enablers that they provide. Moreover, descriptions of real life 
use cases, where semantic technologies have been adopted, are welcomed.

Topics of interest:

Topics to be discussed in this special issue include (but are not 
limited to) the following:

- Semantic Web: A Landscape view
- Semantic web technologies
- Need and relevance of common vocabularies and ontologies in IoT domain
- Web Ontology Language (OWL) and its flavors
- Applicability of different description logic dialects to real life use 
- SPARQL  and its practical applicability
- Semantic Web search engines
- Applicability of semantics to provenance management
- Applicability of semantics to privacy and trust management
- Use of Semantic Web for Big Data
- Social Semantic Web
- Semantics in IoT transition from IoT to WoT
- M3 – A framework for cross-domain Semantic Web of Things applications
- Semantic technologies/standards used in providing interoperability: 
SKOS (Simple Knowledge Organization System),
- Contextualized OWL (C-OWL), SWRL (Semantic Web Rule Language)
- Expressive and Declarative Ontology Alignment Language (EDOAL), etc.
- Challenges in IoT data and semantic interoperability
- Semantic Translation: alignments, streaming translation, query rewriting
- IoT semantic networks
- Domain Specific Case Studies  for semantic technologies applicability
- Semantic IoT  future directions
- Survey/Study on open source tools


Chapter Proposal (500-1000 Words):   	15th October, 2019
Initial decision: 				30th October, 2019
Full Chapter Submission:   			30th November, 2019
Review Results:   				30th December, 2019
Revised Chapter Submission:   		30th January, 2020
Decision notification:   			27th February, 2019
Submission of Final Chapters:   		30th March, 2020
Publication of the edited book: 		Mid 2020


There are NO submission / acceptance / publication fees for manuscripts 
submitted to the “Studies in Computational Intelligence" series. All 
manuscripts are accepted based on a blind peer review editorial process, 
with reviews (using set of criteria designed around the expected focus 
of the volume) performed by multiple reviewers.

All manuscript submissions to the book should be sent through the online 
submission system; Easy chair: https://easychair.org/cfp/SIoT-2020

The series "Studies in Computational Intelligence" (SCI) publishes new 
developments and advances in the various areas of computational 
intelligence – quickly and with a high quality. The intent is to cover 
the theory, applications, and design methods of computational 
intelligence, as embedded in the fields of engineering, computer 
science, physics and life sciences, as well as the methodologies behind 
them. The series contains monographs, lecture notes and edited volumes 
in computational intelligence spanning the areas of neural networks, 
connectionist systems, genetic algorithms, evolutionary computation, 
artificial intelligence, cellular automata, self-organizing systems, 
soft computing, fuzzy systems, and hybrid intelligent systems. Of 
particular value to both the contributors and the readership are the 
short publication timeframe and the world-wide distribution, which 
enable both wide and rapid dissemination of research output.

The books of this series are submitted to indexing to Web of Science, 
EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.

This publication is anticipated to be released in 2020.

For any query, you may please contact: Nidhi Srivastava, Amity 
University Lucknow, India. (Email: nsrivastava2 at lko.amity.edu)

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