Multi-Dimensional Summarization in Cyber-Physical Society

Informationen zum Autor Hai Zhuge is a chair in computer science at Aston University and a joint professor at the Key Lab of Intelligent Information Processing at the Institute of Computing Technology in University of Chinese Academy of Sciences. Professor Zhuge is a recognized pioneer and leader of Cyber-Physical Society research and Knowledge Grid research. He has made significant contribution to semantics modelling, data modelling and knowledge modelling and management. His research has received over 5,000 citations. He is a Distinguished Scientist of ACM, a Fellow of British Computer Society, and an Associate Editor of IEEE Intelligent Systems. He previously authored The Web Resource Space Model, Springer (2008) and The Knowledge Grid -- Toward Cyber-Physical Society 2E, World Scientific Publishing Co (2012). Summarization, Big Data and Cyber-Physical Society summarizes previous text summarization approaches in a multi-dimensional classification 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 and diversity in 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. . In addition, basic behaviors of summarization are studied in the complex space of cyberspace, physical space, and social space. Finally, the limitation of summarization is pointed out, with the notion of innovative summarization proposed, including four basic viewpoints: a representation suitable for summarization should have a core indicated by its intention and extension; summarization is an open process of interactions involved in various explicit and implicit citations; summary has diverse forms carried out through multiple dimensions; and automatic summarization has a limitation, and linking summarization to cyberspace, physical space, and social space to establish a human-machine-nature symbiotic environment is a way to approach and even break the limitation. ...

Autorentext
Hai Zhuge is a chair in computer science at Aston University and a joint professor at the Key Lab of Intelligent Information Processing at the Institute of Computing Technology in University of Chinese Academy of Sciences. Professor Zhuge is a recognized pioneer and leader of Cyber-Physical Society research and Knowledge Grid research. He has made significant contribution to semantics modelling, data modelling and knowledge modelling and management. His research has received over 5,000 citations. He is a Distinguished Scientist of ACM, a Fellow of British Computer Society, and an Associate Editor of IEEE Intelligent Systems. He previously authored The Web Resource Space Model, Springer (2008) and The Knowledge Grid -- Toward Cyber-Physical Society 2E, World Scientific Publishing Co (2012).

Klappentext

Summarization, Big Data and Cyber-Physical Society summarizes previous text summarization approaches in a multi-dimensional classification 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 and diversity in 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. . In addition, basic behaviors of summarization are studied in the complex space of cyberspace, physical space, and social space. Finally, the limitation of summarization is pointed out, with the notion of innovative summarization proposed, including four basic viewpoints: a representation suitable for summarization should have a core indicated by its intention and extension; summarization is an open process of interactions involved in various explicit and implicit citations; summary has diverse forms carried out through multiple dimensions; and automatic summarization has a limitation, and linking summarization to cyberspace, physical space, and social space to establish a human-machine-nature symbiotic environment is a way to approach and even break the limitation.

Inhalt

1. Introduction

2. The emerging structures

3. Patterns in representation and understanding

4. The think lens

5. Multi-dimensional methodology

6. Characteristics and principles of understanding and representation

7. Implicit links in multi-dimensional space

8. General citation

9. Dimensions of summary

10. Multi-dimensional evaluation

11. Incorporating pictures into a summary

12. Summarizing videos, graphs and pictures

13. General framework of summarization

14. Summarization of things in Cyber-Physical Society

15. Limitations and challenges

16. Creative summarization

17. Conclusion