DocumentCode
3270652
Title
Lexon visualization: visualizing binary fact types in ontology bases
Author
Pretorius, A. Johannes
Author_Institution
Semantic Technol. & Applications Res. Lab., Vrije Universiteit Brussel, Brussels, Belgium
fYear
2004
fDate
14-16 July 2004
Firstpage
58
Lastpage
63
Abstract
Ontology bases are sets of binary fact types called lexons. This paper discusses LexoVis, a lexon visualization tool that addresses the inherent size and scale of ontology bases. LexoVis facilitates the analysis of lexons by taking a well-ordered approach and provides overview and detail by employing the graphical fisheye view. Furthermore, different ordering and clustering heuristics incorporated in LexoVis offer insights into ontology bases not explicit in text-based representations.
Keywords
data visualisation; ontologies (artificial intelligence); pattern clustering; LexoVis; binary fact types visualization; clustering heuristics; graphical fisheye view; lexon analysis; lexon visualization tool; ontology bases; ordering heuristics; text-based representations; Application software; Context; Databases; Information systems; Laboratories; Ontologies; Pressing; Semantic Web; Visualization; Web sites;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on
ISSN
1093-9547
Print_ISBN
0-7695-2177-0
Type
conf
DOI
10.1109/IV.2004.1320125
Filename
1320125
Link To Document