Semantic Technologies for Intelligent Industry 4.0 Applications

by Archana Patel (Editor), Narayan C. Debnath (Editor)

Overview

As the world enters the era of big data, there is a serious need to give a semantic perspective to the data in order to find unseen patterns, derive meaningful information, and make intelligent decisions. Semantic technologies offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. These technologies reduce the problem of large semantic loss in the process of modelling knowledge, and provide sharable, reusable knowledge,and a common understanding of the knowledge. As a result, the interoperability and interconnectivity of the model make it priceless for addressing the issues of querying data. These technologies work with the concepts and relations that are very lose to the working of the human brain. They provide a semantic representation of any data format: unstructured or semi-structured. As a consequence, data becomes real-world entity rather than a string of characters. For these reasons, semantic technologies are highly valuable tools to simplify the existing problems of the industry leading to new opportunities. However, there are some challenges that need to be addressed to make industrial applications and machines smarter.

This book aims to provide a roadmap for semantic technologies and highlights the role of these technologies in industry. The book also explores the present and future prospects of these semantic technologies along with providing answers to various questions like: Are semantic technologies useful for the next era (industry 4.0)? Why are semantic technologies so popular and extensively used in the industry? Can semantic technologies make intelligent industrial applications? Which type of problem requires the immediate attention of researchers? Why are semantic technologies very helpful in people’s future lives? This book will potentially serve as an important guide towards the latest industrial applications of semantic technologies for the upcoming generation, and thus becomes a unique resource for scholars, researchers, professionals and practitioners in the field.

Product Details

ISBN-13:	9788770227827
Publisher:	River Publishers
Publication date:	10/06/2023
Series:	River Publishers Series in Computing and Information Science and Technology
Pages:	394
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Dr. Archana Patel is an Assistant Professor, School of Law, Forensic Justice, & Policy Studies, (General Computer Applications/IT), National Forensic Sciences University, Gandhinagar, Gujarat, India. She has worked as a full time faculty at School of Computing and Information Technology, Eastern International University, Binh Duong Province, Vietnam. She has completed her Postdoc from the Freie Universität Berlin, Berlin, Germany. She has filed a patent entitled "Method and System for Creating Ontology of Knowledge Units In A Computing Environment" in Nov 2019. She has received Doctor of Philosophy (Ph.D.) in Computer Applications and PG degree both from the National Institute of Technology (NIT) Kurukshetra, India in 2020 and 2016 respectively. She has qualified GATE and UGC-NET/JRF exams in year 2017. Dr. Patel has also contributed in research project funded by Defence Research and Development Organization (DRDO), for the period of two year. Dr. Patel is an author or co-author of more than 40 publications in numerous referred journals and conference proceedings. She has been awarded best paper award (four times) in the international conferences. She has served as a reviewer in various reputed journal and conferences. Dr. Patel has received various awards for presentation of research work at various international conferences, teaching and research institutions. She has edited six books and served as a guest editors in many well reputed journals. Dr. Patel served as a keynote at ICOECA-2022 and ICSADL 2022. Her research interests are Ontological Engineering, Semantic Web, Big Data, Expert System and Knowledge Warehouse.

Prof. Dr. Narayan C. Debnath is the Founding Dean of the School of Computing and Information Technology at Eastern International University, Vietnam. He is also serving as the Head of the Department of Software Engineering at Eastern International University, Vietnam. Dr. Debnath has been the Director of the International Society for Computers and their Applications (ISCA), USA since 2014. Formerly, Dr. Debnath served as a Full Professor of Computer Science at Winona State University, Minnesota, USA for 28 years (1989–2017). He was elected as the Chairperson of the Computer Science Department at Winona State University for three consecutive terms and assumed the role of the Chairperson of the Computer Science Department at Winona State University for 7 years (2010–2017). Dr. Debnath earned a Doctor of Science (D.Sc.) degree in Computer Science and also a Doctor of Philosophy (Ph.D.) degree in Physics. In the past, he served as the elected President for two separate terms, Vice President, and Conference Coordinator of the International Society for Computers and their Applications, and has been a member of the ISCA Board of Directors since 2001. Before being elected as the Chairperson of the Department of Computer Science in 2010 at Winona State University, he served as the Acting Chairman of the Department. Dr. Debnath received numerous Honors and Awards while serving as a Professor of Computer Science during the period 1989–2017. During 1986–1989, Dr. Debnath served as an Assistant Professor of the Department of Mathematics and Computer Systems at the University of Wisconsin–River Falls, USA, where he was nominated for the prestigious US National Science Foundation (NSF) Presidential Young Investigator Award in 1989.

Table of Contents

1. Semantic Web: Future of AI 2. Semantic Web Industrial Applications 3. Semantic Data Integration 4. Semantic Data Models 5. Semantic Content Management 6. Semantic Search Engine 7. Fundamental for Semantic Enrichment 8. Modelling Ontology Views 9. Ontology Methodology Meets Industry Requirements 10. Specific Aspects of Semantic Technologies for Industry 4.0 11. Semantic Web Services: Industry 4.0 12. Future of Sensor Network 13. Smart Web of Things: Industry 4.0 14. Semantic Frameworks and Architectures for Interoperability among Industry 4.0 Platforms 15. Intelligent Semantic Systems 16. Industry 4.0: Challenges and Opportunities