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Two approaches to representing multiple overlapping classifications: a comparison [plant taxonomy]

Raguenaud, C.; Graham, M.; Kennedy, J.

Authors

C. Raguenaud

M. Graham



Contributors

L Kerschberg
Editor

M Kafatos
Editor

Abstract

Plant taxonomy is the science of classification of plants. One of the tasks of plant taxonomy is the creation of classifications of organisms that allows the understanding of the evolutionary relationships between them. In this paper we describe two different data models that have been designed to support two aspects of taxonomic work: the storage of the information and the visualisation of that information. We show that these two models are different because of their constraints and aims, and we compare their abilities using a number of typical tasks users perform. We also show that although different and able to perform different tasks, each of these models is well adapted to its purpose.

Citation

Raguenaud, C., Graham, M., & Kennedy, J. (2002). Two approaches to representing multiple overlapping classifications: a comparison [plant taxonomy]. In L. Kerschberg, & M. Kafatos (Eds.), Proceedings [of the] Thirteenth International Conference on Scientific and Statistical Database Management, SSDBM 2001 (239-244). https://doi.org/10.1109/ssdm.2001.938556

Conference Name Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001
Conference Location Fairfax, VA, USA, USA
Start Date Jul 18, 2001
End Date Jul 20, 2001
Publication Date Aug 7, 2002
Deposit Date Nov 2, 2009
Publicly Available Date Nov 2, 2009
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Pages 239-244
Book Title Proceedings [of the] Thirteenth International Conference on Scientific and Statistical Database Management, SSDBM 2001.
ISBN 0769512186
DOI https://doi.org/10.1109/ssdm.2001.938556
Keywords Bioinformatics; Classification; Taxonomy; Data modelling; Computer graphics; Visualisation;
Public URL http://researchrepository.napier.ac.uk/id/eprint/3004
Publisher URL http://dx.doi.org/10.1109/SSDM.2001.938556

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