Book description
Presents the state of the technology and points to future directions
for semantic computing
Semantic computing, a rapidly evolving interdisciplinary field, seeks
to structure, design, and manipulate computer content to better
satisfy the needs and intentions of users and create a more meaningful
user experience. This remarkable contributed work examines the art,
engineering, technology, and applications of the field. Moreover, it
brings together researchers from such disciplines as natural language
processing, software engineering, multimedia semantics, semantic Web,
signal processing, and pattern recognition in order to provide a
single source that presents the state of the technology and points to
new breakthroughs on the horizon.
Semantic Computing begins with an introduction that explores
the concepts, technology, applications, and future of semantic
computing. Next, the book is divided into four parts:
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Part One: Semantic Analysis
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Part Two: Semantic Languages and Integration
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Part Three: Semantic Applications
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Part Four: Semantic Programming and Interface
As readers progress through the book, they'll learn not only the
underlying science, but also the fundamental technological building
blocks of semantic computing. Moreover, they'll discover a variety of
cross-disciplinary solutions to current computing and communication
problems. Throughout the book, references to the primary literature
enable further investigation of each individual topic.
Semantic Computing is ideal for industrial managers,
researchers, and engineers seeking to design the next generation of
computing systems in order to better meet user needs. It is also
recommended as a textbook for senior undergraduate and graduate-level
semantic computing courses.
PHILLIP C.-Y. SHEU, PhD, is Professor at the
University of California, Irvine, and a Fellow of the IEEE. Dr. Sheu
studies complex biological systems, knowledge-based medicine, semantic
software engineering, proactive Web technologies, and large real-time
knowledge systems for defense applications. He has authored two books
and published more than 100 papers investigating object-relational
data and knowledge engineering and their applications and biomedical computations.
HEATHER YU, PhD, is a Senior Scientist at Panasonic Information
and Networking Technologies Laboratory.
C. V. RAMAMOORTHY, PhD, is Professor Emeritus of Electrical
Engineering and Computer Science at the University of California, Berkeley.
ARVIND K. JOSHI, PhD, is the Henry Salvatori Professor of
Computer and Cognitive Science at the University of Pennsylvania.
LOTFI A. ZADEH, PhD, is a Professor of Computer Science at the
University of California, Berkeley.
