• DocumentCode
    174997
  • Title

    Visual Modeling Editor and Ontology API-Based Analysis for Decision Making in Enterprises - Experience and Way Ahead

  • Author

    Sunkle, Sagar ; Rathod, Hemant

  • Author_Institution
    Tata Res. Dev. & Design Center, Tata Consultancy Services, Pune, India
  • fYear
    2014
  • fDate
    1-2 Sept. 2014
  • Firstpage
    182
  • Lastpage
    190
  • Abstract
    To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO-BE states, and d) operationalization model that captures paths from AS-IS to desired TO-BE states, in a scalable way. We recount our earlier, ongoing, and proposed approaches for tooling in this regards using situation, task, action, results, and reflections structure. Initial research suggests that reflections from past and ongoing experience may help us in extrapolating ways in which our proprietary metamodeling framework may be put to best use for scalable modeling and analysis of enterprise´s decision making models.
  • Keywords
    application program interfaces; business data processing; decision making; ontologies (artificial intelligence); AS-IS state; TO-BE states; enterprise decision making model; operationalization model; programmable analysis; proprietary metamodeling framework; visual modeling; Analytical models; Business; Computer architecture; Context; Context modeling; Ontologies; Visualization; Adex; Analysis; ArchiMate; Enterprise Modeling; Intentional Modeling; Metamodeling Framework; OpenOME;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW), 2014 IEEE 18th International
  • Conference_Location
    Ulm
  • Type

    conf

  • DOI
    10.1109/EDOCW.2014.36
  • Filename
    6975360