• DocumentCode
    1872333
  • Title

    Application of the Inventory of Biodiversity Information and Social Networking Based Collaboration: An Implementation of Software Framework at Web Application Level

  • Author

    Wu, Hsin-Hui ; Mayden, Richard ; Scannell, Kevin

  • Author_Institution
    Dept. of Biol., St. Louis Univ., St. Louis, MO, USA
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Biodiversity information is inherently complex and is highly distributed in collaborations from all over the world. The application of inventory of Biodiversity Information is a content management system and an end-user may have a technical threshold in maintaining this kind of application. We apply the idea of a software framework at the web application level and implement it as practical web application: Cypriniformes Commons (CypsCom), one inventory solution to store related biodiversity information for the fish Order Cypriniformes. In CypsCom, a biologist can provide multiple layers of information on a taxon through this web-based application and other biologists can review these contributions in an orderly scientific process built in CypsCom. Deploying this kind of software framework at the web application level makes it possible to implement this framework in different programming languages and be applied by different biodiversity research communities.
  • Keywords
    Internet; content management; ecology; groupware; information management; personal computing; social networking (online); Web application level; biodiversity information; biologist; content management system; cypriniformes commons; inventory solution; programming language; scientific process; social networking; technical threshold; Biodiversity; Collaboration; Communities; Databases; Marine animals; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5676851
  • Filename
    5676851