Электронная книга: Heather Yu «Semantic Computing»
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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: Part One: Semantic Analysis Part Two: Semantic Languages and Integration Part Three: Semantic Applications 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. Издательство: "John Wiley&Sons Limited"
ISBN: 9780470588215 электронная книга Купить за 11968.57 руб и скачать на Litres |
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См. также в других словарях:
Semantic integration — is the process of interrelating information from diverse sources, for example calendars and to do lists; email archives; physical, psychological, and social presence information; documents of all sorts; contacts (including social graphs); search… … Wikipedia
Semantic wiki — A semantic wiki is a wiki that has an underlying model of the knowledge described in its pages. Regular, or syntactic, wikis have structured text and untyped hyperlinks. Semantic wikis, on the other hand, provide the ability to capture or… … Wikipedia
Semantic similarity — or semantic relatedness is a concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning / semantic content. Concretely, this can be achieved for instance by defining a topological… … Wikipedia
Semantic unification — has a long history in fields like philosophy and linguistics. In computer science it has been used in different research areas like grammar unification [1] [2] , and Prolog extensions [3] . For business processes and workflow management the term… … Wikipedia
Semantic Web Services — are self contained, self describing, semantically marked up software resources that can be published, discovered, composed and executed across the Web in a task driven semi automatic way. Semantic Web Services can be defined as the dynamic part… … Wikipedia
Semantic security — is a widely used definition for security in an asymmetric key encryption algorithm. For a cryptosystem to be semantically secure, it must be infeasible for a computationally bounded adversary to derive significant information about a message… … Wikipedia
