E-Book, Englisch, 532 Seiten, E-Book
Sheu / Yu / Ramamoorthy Semantic Computing
1. Auflage 2011
ISBN: 978-0-470-92087-9
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: 0 - No protection
E-Book, Englisch, 532 Seiten, E-Book
ISBN: 978-0-470-92087-9
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: 0 - No protection
Presents the state of the technology and points to futuredirections for semantic computing
Semantic computing, a rapidly evolving interdisciplinary field,seeks to structure, design, and manipulate computer content tobetter satisfy the needs and intentions of users and create a moremeaningful user experience. This remarkable contributed workexamines the art, engineering, technology, and applications of thefield. Moreover, it brings together researchers from suchdisciplines as natural language processing, software engineering,multimedia semantics, semantic Web, signal processing, and patternrecognition in order to provide a single source that presents thestate of the technology and points to new breakthroughs on thehorizon.
Semantic Computing begins with an introduction thatexplores the concepts, technology, applications, and future ofsemantic 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 theunderlying science, but also the fundamental technological buildingblocks of semantic computing. Moreover, they'll discover a varietyof cross-disciplinary solutions to current computing andcommunication problems. Throughout the book, references to theprimary literature enable further investigation of each individualtopic.
Semantic Computing is ideal for industrial managers,researchers, and engineers seeking to design the next generation ofcomputing systems in order to better meet user needs. It is alsorecommended as a textbook for senior undergraduate andgraduate-level semantic computing courses.
Autoren/Hrsg.
Weitere Infos & Material
Preface.
1 Semantic Computing.
PART I: SEMANTIC ANALYSIS.
2 What Computers Need to Know about Verbs.
3 Content-based Retrieval of Videos.
4 Semantic Approaches for Speech Recognition.
5 Link Analysis in Web Mining.
6 Analysis of Online Blogs and Chats.
7 Speaker Identification and Diarization: State-of-the-art andApplications.
8 Machine Learning Methods for Ontology Mining.
9 Visual Ontology Development and Large Scale Semantic ConceptDetection.
10 Process Mining and Description.
PART II: SEMANTIC LANGUAGES AND INTEGRATION.
11 Semantic Integration: The Hawkeye Approach.
12 Semantics of Software Modeling.
13 Semantic-Driven Component-Based Automated Code Synthesis.
14 Semantic Web Services.
PART III: SEMANTIC APPLICATIONS.
15 Knowledge Work.
16 Video Search in Visual Semantic Space.
17 Social and Expert Search in Online Communities.
18 Phase-Coherence in Conceptual Spaces for ConversationalAgents.
19 The Role of Semantics in Question Answering.
20 Developing and Using a National Cross-domain Semantic WebInfrastructure.
21 Semantic Computing Challenges in MM Security.
PART IV: SEMANTIC PROGRAMMING AND INTERFACE.
22 Semantic Languages for Software Engineering.
23 From Semantic Objects to Structured Natural Language.