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.
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.
The field of Semantic Computing brings together those disciplines concerned with connecting the often vaguely formulated intentions of humans with computational content. Edited by the foremost experts in the subject, Semantic Computing provides an in-depth and thorough examination on the state-of-the-art of semantic computing technologies. This fundamental guide for graduate and senior undergraduate students, industrial managers, researchers, and engineers presents cross-disciplinary solutions and their value in solving real life computing and communication problems and examines the art, engineering techniques, and the synergy of this interdisciplinary field and its impact on futuristic applications.
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