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Multi-Dimensional Summarization in Cyber-Physical Society

Book Description

Text summarization has been studied for over a half century, but traditional methods process texts empirically and neglect the fundamental characteristics and principles of language use and understanding. Automatic summarization is a desirable technique for processing big data. This reference summarizes previous text summarization approaches in a multi-dimensional category space, introduces a multi-dimensional methodology for research and development, unveils the basic characteristics and principles of language use and understanding, investigates some fundamental mechanisms of summarization, studies dimensions on representations, and proposes a multi-dimensional evaluation mechanism. Investigation extends to incorporating pictures into summary and to the summarization of videos, graphs and pictures, and converges to a general summarization method. Further, some basic behaviors of summarization are studied in the complex cyber-physical-social space. Finally, a creative summarization mechanism is proposed as an effort toward the creative summarization of things, which is an open process of interactions among physical objects, data, people, and systems in cyber-physical-social space through a multi-dimensional lens of semantic computing. The author’s insights can inspire research and development of many computing areas.



  • The first book that proposes the method for the summarization of things in cyber-physical society through a multi-dimensional lens of semantic computing.
  • A transformation from the traditional application-driven research paradigm into a data-driven research paradigm for creative summarization through information modeling, cognitive modeling and knowledge modeling.
  • A multi-dimensional methodology for studying, managing, creating and applying methods.

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. About the Author
  7. Foreword
  8. Preface
  9. Acknowledgment
  10. 1. Introduction
    1. Abstract
    2. 1.1 Open collaborative human summarization
    3. 1.2 The necessity of automatic text summarization
    4. 1.3 Practice in search engines
    5. 1.4 Practice in e-science: summarizing multiple scientific papers through citation
    6. 1.5 A multi-dimensional perspective of summarization literature
    7. 1.6 Characteristics of text summarization
    8. 1.7 Requirement from enterprise content computing and big data
    9. 1.8 Shifting paradigm
  11. 2. The emerging structures
    1. Abstract
    2. 2.1 Near decomposability
    3. 2.2 Text as near decomposable system
    4. 2.3 The near decomposability of memory
    5. 2.4 The structure emerging through representing and understanding
    6. 2.5 Principles for emerging sentences within text
    7. 2.6 Rules for emerging structure within text
    8. 2.7 Case study: summarizing text with emerging structure
    9. 2.8 Emerging structure through dimensions
    10. 2.9 Emerging from psychological dimension
    11. 2.10 The cognitive level of current text summarization
    12. 2.11 Semantic link
    13. 2.12 Summary
  12. 3. Patterns in representation and understanding
    1. Abstract
    2. 3.1 Patterns in text
    3. 3.2 Pattern mappings
    4. 3.3 Pattern-based summarization
    5. 3.4 Incorporating locations into pattern
    6. 3.5 From psychological dimension
    7. 3.6 Implications
  13. 4. The think lens
    1. Abstract
    2. 4.1 The conceptual model
    3. 4.2 The semantic images of words
    4. 4.3 The principle of emerging semantic images
  14. 5. Multi-dimensional methodology
    1. Abstract
    2. 5.1 Dimension
    3. 5.2 Category
    4. 5.3 Dimension and space
    5. 5.4 Discovering dimensions
    6. 5.5 The space of methodologies
    7. 5.6 Summary
  15. 6. Characteristics and principles of understanding and representation
    1. Abstract
    2. 6.1 The level of representation
    3. 6.2 The core
    4. 6.3 Characteristics, principles and strategies
  16. 7. Implicit links in multi-dimensional space
    1. Abstract
    2. 7.1 Implicit links
    3. 7.2 Discovering implicit semantic links
    4. 7.3 Observing from the psychological dimension
    5. 7.4 Observing from the art dimension
  17. 8. General citation
    1. Abstract
    2. 8.1 A dual semantic link network
    3. 8.2 Citation
    4. 8.3 General citation
    5. 8.4 Extension and intension
    6. 8.5 Summarization as citation
  18. 9. Dimensions of summary
    1. Abstract
    2. 9.1 Dimension as computing
    3. 9.2 The dimensions for structuring summary
    4. 9.3 Summarization ondemand
    5. 9.4 Forms
  19. 10. Multi-dimensional evaluation
    1. Abstract
  20. 11. Incorporating pictures into a summary
    1. Abstract
    2. 11.1 Advantages
    3. 11.2 Strategies
  21. 12. Summarizing videos, graphs and pictures
    1. Abstract
    2. 12.1 Summarizing videos
    3. 12.2 Summarizing graphs
    4. 12.3 Summarizing pictures
  22. 13. General framework of summarization
    1. Abstract
    2. 13.1 Unification
    3. 13.2 Transformation with dimension reduction
    4. 13.3 Cognitive level
    5. 13.4 Representation lattice
    6. 13.5 Display
  23. 14. Summarization of things in Cyber-Physical Society
    1. Abstract
    2. 14.1 Cyber-Physical Society
    3. 14.2 The necessity of investigating summarization in Cyber-Physical Society
    4. 14.3 Representation and interaction in Cyber-Physical Society
    5. 14.4 Principles
    6. 14.5 Personality
  24. 15. Limitations and challenges
    1. Abstract
    2. 15.1 Limitations of automatic summarization
    3. 15.2 Active documents
    4. 15.3 Challenges
  25. 16. Creative summarization
    1. Abstract
    2. 16.1 Unconventional mapping
    3. 16.2 Information modeling
    4. 16.3 Cognition modeling system
    5. 16.4 Knowledge space modeling system
    6. 16.5 Human-machine-nature symbiosis
    7. 16.6 Extend to brain
    8. 16.7 Incorporating learning theories and techniques
    9. 16.8 The emotion dimension
  26. 17. Conclusion
  27. Appendix A: Human–machine–nature symbiosis
    1. A.1 Symbiosis
    2. A.2 Turing computing paradigm
    3. A.3 Man–computer symbiosis
    4. A.4 Human–Machine–Nature Symbiosis
    5. A.5 Summary
  28. References