Multi-Dimensional Summarization in Cyber-Physical Society
Nonfiction, Computers, Computer Hardware, Microprocessors, Application Software, Business Software, Science & Nature, Technology
| Author: | Hai Zhuge | ISBN: | 9780128034644 |
| Publisher: | Elsevier Science | Publication: | November 14, 2016 |
| Imprint: | Elsevier | Language: | English |
| Author: | Hai Zhuge |
| ISBN: | 9780128034644 |
| Publisher: | Elsevier Science |
| Publication: | November 14, 2016 |
| Imprint: | Elsevier |
| Language: | English |
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.
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.
