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
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;
Conference_Titel :
Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on
Print_ISBN :
0-7695-2177-0
DOI :
10.1109/IV.2004.1320125
