Visualizing ontology components through self-organizing maps

被引:4
作者
Elliman, D [1 ]
Pulido, JRG [1 ]
机构
[1] Univ Nottingham, Image Proc & Interpretat Res Grp, Comp Sci & Informat Technol Sch, Nottingham NG7 2RD, England
来源
SIXTH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION, PROCEEDINGS | 2002年
关键词
D O I
10.1109/IV.2002.1028810
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes a method for identifying Ontology components by using Self-Organizing Maps. Our system represents the knowledge contained in a particular digital archive by assembling and displaying the ontologies components. This novel approach provides an alternative solution to the problem of classifying online information and retrieval, support mechanisms that explore domains, and allows knowledge to be displayed in a browsable manner.
引用
收藏
页码:434 / 438
页数:5
相关论文
共 50 条
  • [31] Robust self-organizing maps
    Allende, H
    Moreno, S
    Rogel, C
    Salas, R
    PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS AND APPLICATIONS, 2004, 3287 : 179 - 186
  • [32] Visualizing temporal cluster changes using Relative Density Self-Organizing Maps
    Denny
    Williams, Graham J.
    Christen, Peter
    KNOWLEDGE AND INFORMATION SYSTEMS, 2010, 25 (02) : 281 - 302
  • [33] Electrical customers classification through the use of self-organizing maps
    Verdú, SV
    García, MO
    Franco, JG
    Encinas, N
    Lazaro, EG
    Molina, A
    Gabaldon, A
    PROCEEDINGS OF THE EIGHTH IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, 2004, : 282 - 288
  • [34] Learning Useful Representations Through Stacked Self-Organizing Maps
    Brahmi, Ibtissam
    Cabanes, Guenael
    Bennani, Younes
    Matei, Basarab
    2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018,
  • [35] Visualizing dynamics of the hot topics using sequence-based self-organizing maps
    Fukui, K
    Saito, K
    Kimura, M
    Numao, M
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 4, PROCEEDINGS, 2005, 3684 : 745 - 751
  • [36] Visualizing Design Spaces Using Two-Dimensional Contextual Self-Organizing Maps
    Richardson, Trevor
    Nekolny, Brett
    Holub, Joseph
    Winer, Eliot H.
    AIAA JOURNAL, 2014, 52 (04) : 725 - 738
  • [37] Self-organizing Trees for visualizing protein dataset
    Nhat-Quang Doan
    Azzag, Hanane
    Lebbah, Mustapha
    Santini, Guillaume
    2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2013,
  • [38] Visualizing topology in self-organizing management overlays
    Graupner, S
    Ak, AA
    Kotov, V
    SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION VISUALIZATION, PROCEEDINGS, 2003, : 200 - 205
  • [39] Grey self-organizing feature maps
    Hu, YC
    Chen, RS
    Hsu, YT
    Tzeng, GH
    NEUROCOMPUTING, 2002, 48 : 863 - 877
  • [40] Initialization Issues in Self-organizing Maps
    Valova, Iren
    Georgiev, George
    Gueorguieva, Natacha
    Olson, Jacob
    COMPLEX ADAPTIVE SYSTEMS: EMERGING TECHNOLOGIES FOR EVOLVING SYSTEMS: SOCIO-TECHNICAL, CYBER AND BIG DATA, 2013, 20 : 52 - 57