Interactive semantics
文献类型：期刊论文
| 作者 | Hai Zhuge |
| 刊名 | ARTIFICIAL INTELLIGENCE
 |
| 出版日期 | 2010-02-01 |
| 卷号 | 174期号:2页码:190-204 |
| ISSN号 | 0004-3702 |
| 关键词 | Classification Open system Semantics Semantic link network Social semantics Interaction Interactive semantics |
| DOI | 10.1016/j.artint.2009.11.014 |
| 英文摘要 | 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. |
| 资助项目 | National Basic Research Program of China[2003CB317001] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE BV |
| WOS记录号 | WOS:000274867000012 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/12451]  |
| 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. |
入库方式： OAI收割
来源：计算技术研究所
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