Title :
Visualizing ontology components through self-organizing maps
Author :
Elliman, D. ; Pulido, JRG
Author_Institution :
Comput. Sci. & Inf. Technol. Sch., Nottingham Univ., UK
Abstract :
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.
Keywords :
classification; data visualisation; information resources; information retrieval; knowledge representation; self-organising feature maps; digital archive; domain exploration; online information classification; online information retrieval; ontology component assembly; ontology component display; ontology component visualisation; self-organizing maps; Computer science; Data mining; HTML; Image processing; Information retrieval; Information technology; Ontologies; Self organizing feature maps; Visualization; Web pages;
Conference_Titel :
Information Visualisation, 2002. Proceedings. Sixth International Conference on
Print_ISBN :
0-7695-1656-4
DOI :
10.1109/IV.2002.1028810
