Multi-Dimensional Summarization in Cyber-Physical Society (Computer Science Reviews and Trends) - Tapa blanda

Acerca del 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).

De la contraportada

Summarization is one of the key features of human intelligence. It plays an important role in understanding and representation. With rapid and continual expansion of texts, pictures and videos in cyberspace, automatic summarization becomes more and more desirable. Text summarization has been studied for over half century, but traditional methods process texts empirically and neglect fundamental characteristics and principles of language use and understanding.

Multi-Dimensional Summarization in 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 mechanisms. 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 space of cyberspace, physical space and social space. Finally, the limitation of summarization is pointed out and the notion of innovative summarization is proposed. The basic viewpoints include: (1) a representation suitable for summarization should have a core, indicated by its intention and extension; (2) summarization is an open process of interactions, involved in various explicit and implicit citations; (3) summary has diverse forms and summarization carries out through multiple dimensions; and, (4) 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.