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Multi-dimensional summarization in cyber-physical society

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Table of Contents

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

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Availability

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Detail Information

Series Title

Computer science reviews and trends

Call Number

025.40285 ZHU m

Publisher

Amsterdam : Elsevier., 2016

Collation

xvi, 185 hal.; ilus.; 23 cm

Language

English

ISBN/ISSN

9780128034552

Classification

025.40285

Content Type

-

Media Type

-

Carrier Type

-

Edition

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Subject(s)

Data Mining
Natural language processing (Computer science)
Automatic abstracting

Specific Detail Info

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Statement of Responsibility

Hai Zhuge

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