Interactive semantics

doi:10.1016/j.artint.2009.11.014

	Interactive semantics
	Hai Zhuge
	2010-02-01
发表期刊	ARTIFICIAL INTELLIGENCE
ISSN	0004-3702
卷号	174 期号:2 页码:190-204
摘要	Much research pursues machine intelligence through better representation of semantics. What is semantics? People in different areas view semantics from different facets although it accompanies interaction through civilization. Some researchers believe that humans have some innate structure in mind for processing semantics. Then, what the structure is like? Some argue that humans evolve a structure for processing semantics through constant learning. Then, how the process is like? Humans have invented various symbol systems to represent semantics. Can semantics be accurately represented? Turing machines are good at processing symbols according to algorithms designed by humans, but they are limited in ability to process semantics and to do active interaction. Super computers and highspeed networks do not help solve this issue as they do not have any semantic worldview and cannot reflect themselves. Can future cyber-society have some semantic images that enable machines and individuals (humans and agents) to reflect themselves and interact with each other with knowing social situation through time? This paper concerns these issues in the context of studying an interactive semantics for the future cyber-society. It firstly distinguishes social semantics from natural semantics, and then explores the interactive semantics in the category of social semantics. Interactive semantics consists of an interactive system and its semantic image, which co-evolve and influence each other. The semantic worldview and interactive semantic base are proposed as the semantic basis of interaction. The process of building and explaining semantic image can be based on an evolving structure incorporating adaptive multi-dimensional classification space and self-organized semantic link network. A semantic lens is proposed to enhance the potential of the structure and help individuals build and retrieve semantic images from different facets, abstraction levels and scales through time. (C) 2009 Elsevier B.V. All rights reserved.
关键词	Classification Open system Semantics Semantic link network Social semantics Interaction Interactive semantics
DOI	10.1016/j.artint.2009.11.014
收录类别	SCI
语种	英语
资助项目	National Basic Research Program of China[2003CB317001]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000274867000012
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：105[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/12452
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Hai Zhuge
作者单位	Chinese Acad Sci, Knowledge Grid Res Grp, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Hai Zhuge. Interactive semantics[J]. ARTIFICIAL INTELLIGENCE,2010,174(2):190-204.
APA	Hai Zhuge.(2010).Interactive semantics.ARTIFICIAL INTELLIGENCE,174(2),190-204.
MLA	Hai Zhuge."Interactive semantics".ARTIFICIAL INTELLIGENCE 174.2(2010):190-204.