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This book provides an overview of the emerging smart connected
world, and discusses the roles and the usage of underlying semantic
computing and Internet-of-Things (IoT) technologies. The book
comprises ten chapters overall, grouped in two parts. Part I "Smart
Connected World: Overview and Technologies" consists of seven
chapters and provides a holistic overview of the smart connected
world and its supporting tools and technologies. Part II
"Applications and Case Studies" consists of three chapters that
describe applications and case studies in manufacturing, smart
cities, health, and more. Each chapter is self-contained and can be
read independently; taken together, readers get a bigger picture of
the technological and application landscape of the smart connected
world. This book is of interest for researchers, lecturers, and
practitioners in Semantic Web, IoT and related fields. It can serve
as a reference for instructors and students taking courses in
hybrid computing getting abreast of cutting edge and future
directions of a connected ecosystem. It will also benefit industry
professionals like software engineers or data scientists, by
providing a synergy between Web technologies and applications. This
book covers the most important topics on the emerging field of the
smart connected world. The contributions from leading active
researchers and practitioners in the field are thought provoking
and can help in learning and further research. The book is a
valuable resource that will benefit academics and industry. It will
lead to further research and advancement of the field. Bharat K.
Bhargava, Professor of Computer Science, Purdue University, United
States
This book is an attempt to establish in the readers the importance
of creating interoperable data stores and writing rules for
handling this data. It also covers extracts from a few project
dissertations and a research funded project that the author had
supervised.• Describes the power of ontologies for better data
management• Provides an overview of knowledge engineering
including ontology engineering, tools and techniques• Provides
sample development procedures for creating two domain
ontologies.• Depicts the utility of ontological representation in
situation awareness• Demonstrates recommendation engine for
unconventional emergencies using a hybrid reasoning approach.•
The text explains how to make better utilization of resources when
emergency strikesGraduates and undergraduates doing courses in
artificial intelligence, semantic web and knowledge engineering
will find this book beneficial.
Computational Intelligence Techniques and Their Applications to
Software Engineering Problems focuses on computational intelligence
approaches as applicable in varied areas of software engineering
such as software requirement prioritization, cost estimation,
reliability assessment, defect prediction, maintainability and
quality prediction, size estimation, vulnerability prediction, test
case selection and prioritization, and much more. The concepts of
expert systems, case-based reasoning, fuzzy logic, genetic
algorithms, swarm computing, and rough sets are introduced with
their applications in software engineering. The field of knowledge
discovery is explored using neural networks and data mining
techniques by determining the underlying and hidden patterns in
software data sets. Aimed at graduate students and researchers in
computer science engineering, software engineering, information
technology, this book: Covers various aspects of in-depth solutions
of software engineering problems using computational intelligence
techniques Discusses the latest evolutionary approaches to
preliminary theory of different solve optimization problems under
software engineering domain Covers heuristic as well as
meta-heuristic algorithms designed to provide better and optimized
solutions Illustrates applications including software requirement
prioritization, software cost estimation, reliability assessment,
software defect prediction, and more Highlights swarm
intelligence-based optimization solutions for software testing and
reliability problems
This book provides an overview of the emerging smart connected
world, and discusses the roles and the usage of underlying semantic
computing and Internet-of-Things (IoT) technologies. The book
comprises ten chapters overall, grouped in two parts. Part I "Smart
Connected World: Overview and Technologies" consists of seven
chapters and provides a holistic overview of the smart connected
world and its supporting tools and technologies. Part II
"Applications and Case Studies" consists of three chapters that
describe applications and case studies in manufacturing, smart
cities, health, and more. Each chapter is self-contained and can be
read independently; taken together, readers get a bigger picture of
the technological and application landscape of the smart connected
world. This book is of interest for researchers, lecturers, and
practitioners in Semantic Web, IoT and related fields. It can serve
as a reference for instructors and students taking courses in
hybrid computing getting abreast of cutting edge and future
directions of a connected ecosystem. It will also benefit industry
professionals like software engineers or data scientists, by
providing a synergy between Web technologies and applications. This
book covers the most important topics on the emerging field of the
smart connected world. The contributions from leading active
researchers and practitioners in the field are thought provoking
and can help in learning and further research. The book is a
valuable resource that will benefit academics and industry. It will
lead to further research and advancement of the field. Bharat K.
Bhargava, Professor of Computer Science, Purdue University, United
States
Leveraging Artificial Intelligence in Global Epidemics provides
readers with a detailed technical description of the role
Artificial Intelligence plays in various stages of a disease
outbreak, using COVID-19 as a case study. In the fight against
epidemics, medical staff are on the front line; but behind the
lines the battle is fought by researchers, and data scientists.
Artificial Intelligence has been helping researchers with computer
modeling and simulation for predictions about disease progression,
the overall economic situation, tax incomes and population
development. In the same manner, AI can prepare researchers for any
emergency situation by backing the medical science. Artificial
Intelligence plays a key and cutting-edge role in the preparedness
for and dealing with the outbreak of global epidemics. It can help
researchers analyze global data about known viruses to predict the
patterns of the next pandemic and the impacts it will have. Not
only prediction, AI plays an increasingly important role in
assessing readiness, early detection, identification of patients,
generating recommendations, situation awareness and more. It is up
to the right input and the innovative ways by humans to leverage
what AI can do. As COVID-19 has grabbed the world and its economy
today, an analysis of the COVID-19 outbreak and the global
responses and analytics will pay a long way in preparing humanity
for such future situations.
Web Semantics strengthen the description of web resources to
exploit them better and make them more meaningful for both humans
and machines, thereby contributing to the development of a
knowledgeintensive data web. The world is experiencing the movement
of concept from data to knowledge and the movement of web from
document model to data model. The underlying idea is making the
data machine understandable and processable. In the light of these
trends, conciliation of Semantic and the Web is of paramount
importance for further progress in the area. Web Semantics: Cutting
Edge and Future Directions in Healthcare describes the three major
components of the study of Semantic Web, namely Representation,
Reasoning, and Security with a special focus on the healthcare
domain. This book summarizes the trends and current research
advances in web semantics, emphasizing the existing tools and
techniques, methodologies, and research solutions. It provides
easily comprehensible information on Web Semantics including
semantics for data and semantics for services.
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