Date
1999Metadata
Show full item record
Aufsatz
Hierarchies of conceptual scales
Abstract
Formal Concept Analysis allows to derive conceptual hierarchies from data tables. Formal Concept Analysis is applied in various domains, e.g., data analysis, information retrieval, and knowledge discovery in databases. In order to deal with increasing sizes of the data tables (and to allow more complex data structures than just binary attributes), conceputal scales habe been developed. They are considered as metadata which structure the data conceptually. But in large applications, the number of conceptual scales increases as well. Techniques are needed which support the navigation of the user also on this meta-level of conceptual scales. In this paper, we attack this problem by extending the set of scales by hierarchically ordered higher level scales and by introducing a visualization technique called nested scaling. We extend the two-level architecture of Formal Concept Analysis (the data table plus one level of conceptual scales) to many-level architecture with a cascading system of conceptual scales. The approach also allows to use representation techniques of Formal Concept Analysis for the visualization of thesauri and ontologies.
Citation
@article{urn:nbn:de:hebis:34-2009012626013,
author={Stumme, Gerd},
title={Hierarchies of conceptual scales},
year={1999}
}
0500 Oax
0501 Text $btxt$2rdacontent
0502 Computermedien $bc$2rdacarrier
1100 1999$n1999
1500 1/eng
2050 ##0##urn:nbn:de:hebis:34-2009012626013
3000 Stumme, Gerd
4000 Hierarchies of conceptual scales / Stumme, Gerd
4030
4060 Online-Ressource
4085 ##0##=u http://nbn-resolving.de/urn:nbn:de:hebis:34-2009012626013=x R
4204 \$dAufsatz
4170
5550 {{Formale Begriffsanalyse}}
7136 ##0##urn:nbn:de:hebis:34-2009012626013
<resource xsi:schemaLocation="http://datacite.org/schema/kernel-2.2 http://schema.datacite.org/meta/kernel-2.2/metadata.xsd"> 2009-01-26T14:36:07Z 2009-01-26T14:36:07Z 1999 urn:nbn:de:hebis:34-2009012626013 http://hdl.handle.net/123456789/2009012626013 327301 bytes application/pdf eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ 004 Hierarchies of conceptual scales Aufsatz Formal Concept Analysis allows to derive conceptual hierarchies from data tables. Formal Concept Analysis is applied in various domains, e.g., data analysis, information retrieval, and knowledge discovery in databases. In order to deal with increasing sizes of the data tables (and to allow more complex data structures than just binary attributes), conceputal scales habe been developed. They are considered as metadata which structure the data conceptually. But in large applications, the number of conceptual scales increases as well. Techniques are needed which support the navigation of the user also on this meta-level of conceptual scales. In this paper, we attack this problem by extending the set of scales by hierarchically ordered higher level scales and by introducing a visualization technique called nested scaling. We extend the two-level architecture of Formal Concept Analysis (the data table plus one level of conceptual scales) to many-level architecture with a cascading system of conceptual scales. The approach also allows to use representation techniques of Formal Concept Analysis for the visualization of thesauri and ontologies. open access Stumme, Gerd Extern Auch erschienen in: Gaines, T. B. u.a. (Hrsg.): Proceedings. 12. Workshop on Knowledge Acquisition, Modeling and Management (KAW '99), Banff, 1999. S. 78-95 Formale Begriffsanalyse </resource>
The following license files are associated with this item:
:Urheberrechtlich geschützt