[AISWorld] Cfp: Special issue on Sensors, Observations, Actuators and the Web of Linked Data and Things (Semantic Web Journal)

Federica Cena cena at di.unito.it
Sun Nov 4 09:36:29 EST 2018


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[Apologies for multiple postings]

http://www.semantic-web-journal.net/blog/special-issue-web-linked-data-and-things
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Special Issue on the Sensors, Observations, Actuators and the Web of 
Linked Data and Things
on Semantic Web Journal

* Important dates
Paper submission deadline: December 15 2018
Envisioned First round notification: January 2019

* Scope
The rapid advancement and ubiquitous penetration of mobile networks, 
Web-based information creation and sharing, and software-defined 
networking technology enable us to sense, predict and control the 
physical world using information technology—on top of the resulting 
Internet of Things (IoT), business models and processes have been 
redesigned on the Web across a broad range of industries leading to the 
so-called Web of Things (WoT). To maximize its social and economic 
benefit, issues of interoperability, data and service mash-ups, the 
development of open platforms, and standardization on the application 
layer have to be addressed.
The capabilities of new networks of devices presents us with several new 
and complex challenges that need to be solved before data, device and 
service interoperability on the Web of Things can deliver their promised 
potential. Without connecting the data and its semantics that is 
generated by potentially billions of sensing, actuating and sampling 
devices, the users of the Web of Things will end up in silos of 
information that require different applications to access and use it. A 
description of the capabilities of these devices using semantic 
technologies may help in deciding how to communicate with the device and 
manage the data that is produced or the actions that can be performed. 
Besides the well researched area of cloud computing, new approaches such 
as edge computing and fog computing have been proposed to address parts 
of the scalability problem. The goal of these new approaches is to not 
transport all data but only relevant data across the Internet.
On the other hand, successfully interconnecting devices on the Web of 
Things will lead to a deluge of data that will present scalability 
problems to the data analysis and knowledge extraction and management. 
Further, issues around access to devices and privacy issues of what 
information can be shared in a highly interconnected Web of Things are 
also intensifying.

The focus of this special issue is to showcase novel approaches of 
applying semantic technologies to solve the problems of device and data 
integration. The topics of interest for the special issue include (but 
are not limited to):
* Semantic Web and Linked Data technologies for Web of Thing devices
* Semantic Web and Linked Data technologies for Web of Things’ data
* Semantic technologies and Web of Things constraints and architectures
* Web of Things and Data applications and application development
* Semantic interoperability and standardization overcoming siloization 
of IoT systems
* Coupling between semantics and other AI techniques for the Web of 
Things and Data (deep learning, multi-agent systems, etc.)
* Trust, privacy, and security in the Web of Things and Data
* Experience in sensor network applications of semantic technologies

Special issue editors
Federica Cena, University of Turin, IT <federica.cena at unito.it>
Armin Haller, Australian National University, AU <armin.haller at anu.edu.au>
Maxime Lefrançois, École des Mines de Saint-Étienne, FR 
<maxime.lefrancois at emse.fr>



-- 
Federica Cena, Ph. D.
Assistant Professor - Researcher
Dipartimento di Informatica
Universita' di Torino
Corso Svizzera 185, 10149 Torino, Italy
  
Phone +39 0116706779
Fax +39 011751603
email: cena at di.unito.it
web: www.di.unito.it/~cena/


-- 
Federica Cena, Ph. D.
Assistant Professor - Researcher
Dipartimento di Informatica
Universita' di Torino
Corso Svizzera 185, 10149 Torino, Italy
  
Phone +39 0116706779
Fax +39 011751603
email: cena at di.unito.it
web: www.di.unito.it/~cena/




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