Lexon visualization: vislualizing binary fact types in ontology bases

A.J. Pretorius

doi:10.1109/IV.2004.1320125

Lexon visualization: vislualizing binary fact types in ontology bases

A.J. Pretorius

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	Information Visualisation (Proceedings Eighth International Conference, IV'04
Editors	E. Banissi
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	58-63
Number of pages	6
ISBN (Print)	0-7695-2177-0
DOIs	https://doi.org/10.1109/IV.2004.1320125
Publication status	Published - 2004
Event	8th International Conference on Information Visualisation - London, United Kingdom Duration: 16 Jul 2004 → 16 Jul 2004

Conference

Conference	8th International Conference on Information Visualisation
Country/Territory	United Kingdom
City	London
Period	16/07/04 → 16/07/04

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10.1109/IV.2004.1320125

Cite this

@inproceedings{d05fb73eaf3f42c29dee93098d2ab677,

title = "Lexon visualization: vislualizing binary fact types in ontology bases",

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.",

author = "A.J. Pretorius",

year = "2004",

doi = "10.1109/IV.2004.1320125",

language = "English",

isbn = "0-7695-2177-0",

pages = "58--63",

editor = "E. Banissi",

booktitle = "Information Visualisation (Proceedings Eighth International Conference, IV'04",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "8th International Conference on Information Visualisation ; Conference date: 16-07-2004 Through 16-07-2004",

}

Pretorius, AJ 2004, Lexon visualization: vislualizing binary fact types in ontology bases. in E Banissi (ed.), Information Visualisation (Proceedings Eighth International Conference, IV'04. Institute of Electrical and Electronics Engineers, Piscataway, pp. 58-63, 8th International Conference on Information Visualisation, London, United Kingdom, 16/07/04. https://doi.org/10.1109/IV.2004.1320125

Lexon visualization: vislualizing binary fact types in ontology bases. / Pretorius, A.J.
Information Visualisation (Proceedings Eighth International Conference, IV'04. ed. / E. Banissi. Piscataway: Institute of Electrical and Electronics Engineers, 2004. p. 58-63.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Lexon visualization

T2 - 8th International Conference on Information Visualisation

AU - Pretorius, A.J.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

U2 - 10.1109/IV.2004.1320125

DO - 10.1109/IV.2004.1320125

M3 - Conference contribution

SN - 0-7695-2177-0

SP - 58

EP - 63

BT - Information Visualisation (Proceedings Eighth International Conference, IV'04

A2 - Banissi, E.

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

Y2 - 16 July 2004 through 16 July 2004

ER -

Lexon visualization: vislualizing binary fact types in ontology bases

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