Multi-dimensional summarization in cyber-physical society / Hai Zhuge.

Format:

Book

Author/Creator:

Zhuge, Hai, author.

Series:

Computer science reviews and trends.

Computer Science Reviews and Trends

Language:

English

Subjects (All):

Automatic abstracting.

Physical Description:

1 online resource (205 pages) : illustrations, photographs.

Edition:

1st edition

Place of Publication:

Amsterdam, [Netherlands] : Elsevier, 2016.

System Details:

text file

Summary:

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.

Contents:

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

Back Cover.

Notes:

Includes bibliographical references at the end of each chapters.

Description based on online resource; title from PDF title page (ebrary, viewed Novermber 23, 2016).

ISBN:

9780128034644

0128034645

OCLC:

966316265