• DocumentCode
    3310889
  • 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
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    239
  • Lastpage
    244
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scientific and Statistical Database Management, 2001. SSDBM 2001. Proceedings. Thirteenth International Conference on
  • Conference_Location
    Fairfax, VA
  • ISSN
    1099-3371
  • Print_ISBN
    0-7695-1218-6
  • Type

    conf

  • DOI
    10.1109/SSDM.2001.938556
  • Filename
    938556