• DocumentCode
    3397935
  • Title

    Introducing multiple knowledge to workflow modeling

  • Author

    Wang Nan ; Sun Shanwu

  • Author_Institution
    Dept. of Manage. Sci. & Inf. Eng., Jilin Univ. of Finance & Econ., Changchun, China
  • fYear
    2011
  • fDate
    19-22 Aug. 2011
  • Firstpage
    2160
  • Lastpage
    2163
  • Abstract
    Constructing the abstraction model of physical world is an important step of model-based reasoning. This paper applies multi-knowledge to the general abstraction theory of physical world and uses the general framework representing abstraction to propose the multi-workflow modeling process, including workflow behavior model, workflow function model and workflow teleology model. The ontology linkages between proposed three models are built up and the multi-workflow model framework is characterized from three levels: model transforming level, model objects sharing level and multi-knowledge mapping level. The present multi-workflow model truly enriches the model basis for model-based reasoning.
  • Keywords
    inference mechanisms; ontologies (artificial intelligence); workflow management software; general abstraction theory; model objects sharing level; model transforming level; model-based reasoning; multiknowledge mapping level; ontology linkage; workflow behavior model; workflow function model; workflow modeling; workflow teleology model; Couplings; Data models; Databases; Education; Inference mechanisms; Ontologies; abstraction theory multi-knowledge; model-based reasoning; modeling; multi-workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
  • Conference_Location
    Jilin
  • Print_ISBN
    978-1-61284-719-1
  • Type

    conf

  • DOI
    10.1109/MEC.2011.6025919
  • Filename
    6025919