Semantic Computing

Semantic Computing

By: Heather Yu (editor), Lotfi A. Zadeh (editor), Arvind K. Joshi (editor), C. V. Ramamoorthy (editor), Phillip C.-Y. Sheu (editor)Hardback

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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.

About Author

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.


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 and Applications. 8 Machine Learning Methods for Ontology Mining. 9 Visual Ontology Development and Large Scale Semantic Concept Detection. 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 Conversational Agents. 19 The Role of Semantics in Question Answering. 20 Developing and Using a National Cross-domain Semantic Web Infrastructure. 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.

Product Details

  • ISBN13: 9780470464953
  • Format: Hardback
  • Number Of Pages: 552
  • ID: 9780470464953
  • weight: 908
  • ISBN10: 047046495X

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