Multi-dimensional summarization in cyber-physical society
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 summar...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, [Netherlands] :
Elsevier
2016.
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| Edición: | 1st edition |
| Colección: | Computer science reviews and trends.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630437006719 |
Tabla de Contenidos:
- Front Cover
- Multi-Dimensional Summarization in Cyber-Physical Society
- Copyright Page
- Dedication
- Contents
- About the Author
- Foreword
- Preface
- Acknowledgment
- 1 Introduction
- 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
- 1.7.1 Enterprise content computing
- 1.7.2 Big data
- 1.8 Shifting paradigm
- 2 The emerging structures
- 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
- 2.7.1 Iterative function
- 2.7.2 Experiment
- 2.7.3 Experiment result
- 2.7.4 Discussion
- 2.8 Emerging structure through dimensions
- 2.9 Emerging from psychological dimension
- 2.9.1 Assumptions of reading
- 2.9.2 Interactive environment
- 2.10 The cognitive level of current text summarization
- 2.11 Semantic link
- 2.11.1 Uncertainty on semantic link
- 2.11.2 Bias on semantic link
- 2.11.3 Separation of semantic link networks
- 2.12 Summary
- 3 Patterns in representation and understanding
- 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
- 4.1 The conceptual model
- 4.2 The semantic images of words
- 4.3 The principle of emerging semantic images.
- 5 Multi-dimensional methodology
- 5.1 Dimension
- 5.2 Category
- 5.3 Dimension and space
- 5.3.1 Basic concepts
- 5.3.2 Interest space
- 5.3.3 Applications
- 5.4 Discovering dimensions
- 5.4.1 Problem definition
- 5.4.2 Category space
- 5.4.3 Resource space
- 5.4.4 Mutual-reference adaption
- 5.4.5 Assumption
- 5.4.6 Criteria
- 5.4.7 Extending dimension
- 5.4.8 Automatic construction
- 5.4.9 Automatically uploading resources
- 5.4.10 Discovering dimensions on the network of resources
- 5.5 The space of methodologies
- 5.6 Summary
- 6 Characteristics and principles of understanding and representation
- 6.1 The level of representation
- 6.2 The core
- 6.3 Characteristics, principles and strategies
- 7 Implicit links in multi-dimensional space
- 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
- 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
- 9.1 Dimension as computing
- 9.2 The dimensions for structuring summary
- 9.3 Summarization ondemand
- 9.4 Forms
- 10 Multi-dimensional evaluation
- 11 Incorporating pictures into a summary
- 11.1 Advantages
- 11.2 Strategies
- 12 Summarizing videos, graphs and pictures
- 12.1 Summarizing videos
- 12.2 Summarizing graphs
- 12.3 Summarizing pictures
- 13 General framework of summarization
- 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
- 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
- 15.1 Limitations of automatic summarization
- 15.2 Active documents
- 15.3 Challenges
- 16 Creative summarization
- 16.1 Unconventional mapping
- 16.2 Information modeling
- 16.2.1 Main functions
- 16.2.2 Generation of interest space
- 16.2.3 Interest-led reading model
- 16.2.4 Three-tier reading assumption
- 16.2.5 Solutions
- 16.3 Cognition modeling system
- 16.3.1 Main functions
- 16.3.2 Cognitive reading model
- 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
- A.1 Symbiosis
- A.2 Turing computing paradigm
- A.3 Man-computer symbiosis
- A.4 Human-Machine-Nature Symbiosis
- A.5 Summary
- References
- References
- Back Cover.
