Title :
Two approaches to representing multiple overlapping classifications: a comparison [plant taxonomy]
Author :
Raguenaud, Cédric ; Graham, Martin ; Kennedy, Jessie
Author_Institution :
Sch. of Comput., Napier Univ., UK
Abstract :
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 that users perform. We also show that, although different and able to perform different tasks, each of these models is well adapted to its purpose, and tight integration is difficult
Keywords :
biology computing; botany; classification; data models; data visualisation; evolution (biological); information storage; scientific information systems; constraints; data models; evolutionary relationships; information storage; information visualisation; multiple overlapping classifications; organism classification; plant taxonomy; tight integration; user tasks; DNA; Data models; Data visualization; Distributed control; Law; Legal factors; Morphology; Organisms; Taxonomy; Visual databases;
Conference_Titel :
Scientific and Statistical Database Management, 2001. SSDBM 2001. Proceedings. Thirteenth International Conference on
Conference_Location :
Fairfax, VA
Print_ISBN :
0-7695-1218-6
DOI :
10.1109/SSDM.2001.938556