Semantic Computing

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 Computingbegins 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.

Table of Contents

Chapter 1. Semantic Computing

PART I SEMANTIC ANALYSIS
Chapter 2. What Computers Need to Know About Verbs
Chapter 3. Content-Based Retrieval of Videos
Chapter 4. A Semantic and Detection-Based Approach to Speech and Language Processing
Chapter 5. Link Analysis in Web Mining: Techniques and Applications
Chapter 6. Conversational Thread Extraction and Topic Detection in Text-Based Chat
Chapter 7. Speaker Recognition and Diarization
Chapter 8. Machine Learning Methods for Ontology Mining
Chapter 9. Visual Ontology Construction and Concept Detection for Multimedia Indexing and Retrieval
Chapter 10. Process Mining and Description

PART II SEMANTIC LANGUAGES AND INTEGRATION
Chapter 11. Semantic Integration: The Hawkeye Approach
Chapter 12. Semantics of Software Modeling
Chapter 13. Semantic-Driven Component-Based Automated Code Synthesis
Chapter 14. Semantic Web Services

PART III SEMANTIC APPLICATIONS
Chapter 15. Knowledge Work
Chapter 16. Searching Videos in Visual Semantic Spaces
Chapter 17. Social and Expert Research in Online Communities
Chapter 18. Phase Coherence in Conceptual Spaces for Conversational Agents
Chapter 19. Role of Semantics in Question Answering
Chapter 20. Developing and Using a National Cross-Domain Semantic Web Infrastructure
Chapter 21. Semantic Analysis for Multimedia Security Application

PART IV SEMANTIC INTERFACE
Chapter 22. Semantic Languages for Software Engineering
Chapter 23. From Semantic Objects to Structured Natural Language