Semantic Computing 1st Edition by Phillip C.-Y. Sheu (PDF)

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    Ebook Info

    • Published: 2011
    • Number of pages: 548 pages
    • Format: PDF
    • File Size: 4.21 MB
    • Authors: Phillip C.-Y. Sheu

    Description

    Presents the state of the technology and points to future directions for semantic computingSemantic 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 AnalysisPart Two: Semantic Languages and IntegrationPart Three: Semantic ApplicationsPart Four: Semantic Programming and InterfaceAs 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.

    User’s Reviews

    Reviews from Amazon users which were colected at the time this book was published on the website:

    ⭐The book is a lengthy compilation of current research efforts in the adding of more intelligence to computing. Not surprisingly, many of the chapters refer to the Web 2.0 or the Semantic Web. Many challenges remain as the authors make clear.One of these is described in Chapter 21, “Semantic Analysis for Multimedia Security Applications”. The problem is how to programmatically extract meaning from videos, where these might be amassed via security cameras, or more generally from other cameras. A video consists of a sequence of frames. There is a hierarchy of structure, starting with a frame at the lowest level. A shot is a set of frames from 1 camera showing 1 event. While a scene is a series of shots taken at a single location. The entire video is then a collection of scenes. While a human observer can readily discern a shot and a scene, how is this done by computer? Various methods of using a histogram distance metric and a spatial distance metric are given. The chapter goes well beyond work confined to analysing single images.Subsequent difficulties include how to find shot boundaries and getting a typical frame from a shot to define the shot; ie. how to get a keyframe? Another serious practical issue is the tracking of an object. Imagine following a person as she moves through a region. A higher level related task is to use motion to describe object activity in a video. So perhaps a parametric representation of the object in a 3 dimensional space can be tried. Where a bounding box could be found for an object in each frame [to the extent that this is indeed possible] and the centroid for that box is taken as the object center in establishing a trajectory.Another common thread in several chapters is the use of ontologies. There have been and are massive efforts to bootstrap by building ontologies like WordNet. Various usages have been tried like extracting and using glosses (the textual description of a term in an ontology) for downstream analysis.On the subject of ontologies, none of the chapters discussing this mention Ted Nelson’s Xanadu, which was an early 1960s attempt at combining this with hypertext. Perhaps a sad reflection that that effort was too early and a failure.Of the book’s editors, Zadeh is clearly the best known, being the founder of fuzzy logic. Be aware that the text only has brief mentions of this topic.

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