Call For Chapters
Title : Tools, Languages, Methodologies for Representing Semantics on the Web of Things
Shikha Mehta, Sanju Tiwari, Patrick Siarry, M.A Jabbar
Aim of the book
The convergence of information and communication technologies has led to the exponential proliferation of data in the last few years. It is expected to escalate further with the growing usage of IoT devices. The Internet of Things involves integration of a huge number of distributed and heterogeneous entities.Th e main problem with the prevailing IoT applications is that devices have limited interoperability with each other as their data is based on proprietary formats and there are no standards to report interoperable IoT data. To enable the interoperability between heterogeneous devices, there is a need to develop supporting formal semantic representations and technologies with suitable levels of abstractions. This problem can be tackled using the technologies of Semantic web such as ontologies, semantic web services, annotations etc. Semantic web technologies are well suited to deal with the issue of interoperability of data generated by the devices already employed in real-life.
The integration of the Semantic Web with the Internet of Things has given a new vision that is Semantic web of Things(SWoT). Semantic web technologies have already shown their benefits in other domains than IoT. IoT interoperability is still in its early stages. It is expected that concepts, tools and technologies of semantic web may contribute in overcoming the limitations of IoT applications. The new paradigm of SWoT would provide knowledge based systems with great autonomic capability for information storage, management and discovery along with transparent access to information resources in various applications. The Semantic Web community plays a vital role when data interoperability and results integration are required. Semantic analytics is presented as an emerging trend to provide reasoning, derive relevant information from IoT data that helps to deduce new facts.
This book will focus on tools, technologies, frameworks, architectures and applications of semantic Web of Things(SWoT) to handle the issues and challenges posed in varied environments. The goal is to emphasize the usability and performance of these techniques in dealing with problems of emerging areas. The book aims to include submissions that present innovative techniques, cutting-edge systems and novel applications supported by experimental results that reflect the current advances in these domains.
Recommended topics include, but are not limited to, the following ones:
● Frameworks for semantic web of Things
● Machine-to-Machine Measurement (M3)
● Tools for SWoT
● Discovery Services for Semantic Internet of Things
● Semantic Annotation for Internet of Things
● Semantic interoperability on sensor data
● Ontologies and reasoning on data for Web of Things applications.
● Semantic of Things application
● Semantics for Smarter Cities
● SWoT Architectures
● Semantic Modeling for IoT
● Semantic Technologies for IoT
● Applications of Intelligent IoT Computing and Semantic Web
● Decentralization and Heterogeneity of Semantic Web Data
● Information Retrieval, NLP for semantic Web
● Deep Semantics and Knowledge Graphs with IoT
● Social Web Analysis and Mining with IoT Devices
● IoT Security
Important dates:
Chapter proposal (abstract submission): May 5, 2021 May 20, 2021
Abstract acceptance notification: May 10, 2021 May 25, 2021
Full chapter submission: September 1, 2021
Notification to authors: October 15, 2021
Camera-ready chapter submission: November 15, 2021
Publication of the book: January 2022
Address for submission
Please use this link https://easychair.org/cfp/TLSRSWoT_21-22
Guidelines for Full Chapter Submission: Author Guidelines
For any information please contact the guest editors-
Dr. Shikha Mehta, Jaypee Institute of Information Technology, India, mehtshikha@gmail.com
Dr. Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico, tiwarisanju18@ieee.org
Dr. Patrick Siarry, University-Paris-Est Creteil, France, siarry@u-pec.fr
Dr. M.A. Jabbar, Vardhaman College of Engineering, India, akhiljabbar@ieee.org