Semantic Computing / Edition 1

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Overview

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, reference 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.

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Editorial Reviews

From the Publisher
"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 articles of this volume will not be reviewed individually." (Zentralblatt MATH, 2010)
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Product Details

  • ISBN-13: 9780470464953
  • Publisher: Wiley
  • Publication date: 5/3/2010
  • Edition number: 1
  • Pages: 531
  • Product dimensions: 6.30 (w) x 9.30 (h) x 1.30 (d)

Meet the 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.

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Table of Contents

Preface

Contributors

1. Semantic Computing Phillip C.-Y. Sheu Sheu, Phillip C.-Y. 1

PART I SEMANTIC ANALYSIS 11

2. What Computers Need to Know About Verbs Martha Palmer Palmer, Martha 13

3. Content-Based Retrieval of Videos Mei-Ling Shyu Shyu, Mei-Ling 33

4. A Semantic and Detection-Based Approach to Speech and Language Processing Rodrigo Capobianco Guido Guido, Rodrigo Capobianco 49

5. Link Analysis in Web Mining: Techniques and Applications Jaideep Srivastava Srivastava, Jaideep 69

6. Conversational Thread Extraction and Topic Detection in Text-Based Chat Craig Martel Martel, Craig 87

7. Speaker Recognition and Diarization David van Leeuwen van Leeuwen, David 115

8. Machine Learning Methods for Ontology Mining Floriana Esposito Esposito, Floriana 131

9. Visual Ontology Construction and Concept Detection for Multimedia Indexing and Retrieval Shih-Fu Chang Chang, Shih-Fu 155

10. Process Mining and Description Phillip C.-Y. Sheu Sheu, Phillip C.-Y. 181

PART II SEMANTIC LANGUAGES AND INTEGRATION 199

11. Semantic Integration: The Hawkeye Approach Zhengziang Pan Pan, Zhengziang 201

12. Semantics of Software Modeling Jakob Henriksson Henriksson, Jakob 229

13. Semantic-Driven Component-Based Automated Code Snythesis I.-Ling Yen Yen, I.-Ling 249

14. Semantic Web Services Phillip C.-Y. Sheu Sheu, Phillip C.-Y. 285

PART III SEMANTIC APPLICATIONS 301

15. Knowledge Work Max Muhlhauser Muhlhauser, Max 303

16. Searching Videos in Visual Semantic Spaces Behzad Shahraray Shahraray, Behzad 323

17. Social and Expert Research in Online Communities Tansu Alpcan Alpcan, Tansu 341

18. Phase Coherence in Conceptual Spaces for Conversational Agents Salvatore Gaglio Gaglio, Salvatore 357

19. Role of Semantics in Question Answering Christine Clark Clark, Christine 373

20. Developing and Using a National Cross-Domain Semantic Web Infrastructure Eero Hyvonen Hyvonen, Eero 421

21. Semantic Analysis for Multimedia Security Application Arif Ghafoor Ghafoor, Arif 439

PART IV SEMANTIC INTERFACE 465

22. Semantic Languages for Software Engineering Phillip C.-Y. Sheu Sheu, Phillip C.-Y. 467

23. From Semantic Objects to Structured Natural Language Fei Xie Fei, Xie 489

Index 507

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Sort by: Showing 1 Customer Reviews
  • Posted July 17, 2010

    more from this reviewer

    many unsolved problems

    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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