• DocumentCode
    2711470
  • Title

    A land consolidation project management information system base on workflow

  • Author

    Zhou, Jinhao ; Ling, Weixin ; Hu, Yueming

  • Author_Institution
    Coll. of Inf., South China Agric. Univ., Guangzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This study is based on land consolidation project management policies, industry needs and current situation of land department. According to the characteristics of land consolidation, a multi-source heterogeneous integration database is established. It could be used to solve several problems, including disagreement caused by diversity of data sources and variety of structure. Base on this, a Land Consolidation Project Management Information System (LCPMIS) was built with some features as follows: object-oriented and project-driven workflow technology was used, according to two facts, land consolidation´s core is project management and it has procedural characteristics; Business functions were divided into atomic modules by deconstructing and reconstructing basic elements of land consolidation project management. With all these features, the system was supposed to adapt to different business goals and to have a quick response to any changes on projects, so that it would improve the standardization of work processes.
  • Keywords
    geophysics computing; object-oriented methods; project management; workflow management software; Land Consolidation Project Management Information System; business function; multisource heterogeneous integration database; object-oriented workflow technology; project-driven workflow technology; Databases; Geographic Information Systems; Information systems; Materials; Planning; Project management; Geographic Information System (GIS); land consolidation; project management system; workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981006
  • Filename
    5981006