Interactive semantics

被引:103
作者
Hai Zhuge [1 ]
机构
[1] Chinese Acad Sci, Knowledge Grid Res Grp, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China
关键词
Classification; Open system; Semantics; Semantic link network; Social semantics; Interaction; Interactive semantics; MODEL; RICHNESS; NETWORKS; WORLD;
D O I
10.1016/j.artint.2009.11.014
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码:190 / 204
页数:15
相关论文
共 53 条
  • [1] Power-Law distribution of the World Wide Web
    Adamic, LA
    Huberman, BA
    Barabási, AL
    Albert, R
    Jeong, H
    Bianconi, G
    [J]. SCIENCE, 2000, 287 (5461)
  • [2] Aiello M., 2002, International Journal on Document Analysis and Recognition, V5, P1, DOI 10.1007/s10032-002-0080-x
  • [3] [Anonymous], 2004, Cognitive Linguistics
  • [4] [Anonymous], 1979, PATTERNS ATTACHMENT
  • [5] Emergence of scaling in random networks
    Barabási, AL
    Albert, R
    [J]. SCIENCE, 1999, 286 (5439) : 509 - 512
  • [6] Barwise J., 1989, The situation in logic
  • [7] The Semantic Web - A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities
    Berners-Lee, T
    Hendler, J
    Lassila, O
    [J]. SCIENTIFIC AMERICAN, 2001, 284 (05) : 34 - +
  • [8] BOOCH G, 1998, UNIFIED MODELING LAN
  • [9] Semiotic dynamics and collaborative tagging
    Cattuto, Ciro
    Loreto, Vittorio
    Pietronero, Luciano
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (05) : 1461 - 1464
  • [10] Codd E. F., 1979, ACM Transactions on Database Systems, V4, P397, DOI 10.1145/320107.320109