• DocumentCode
    2102252
  • Title

    The PiVis Framework for Visualization of Digital Object Memories

  • Author

    Haupert, Jens

  • Author_Institution
    German Res. Center for Artificial Intell. (DFKI), Saabrucken, Germany
  • fYear
    2011
  • fDate
    25-28 July 2011
  • Firstpage
    179
  • Lastpage
    185
  • Abstract
    Digital object memories, as a shared storage place for object-related information, support information reuse across domain and application boundaries throughout its whole life cycle. In this paper, we present a reusable general-purpose software framework for the visualization of and interaction with such digital object memories. The framework simplifies the implementation of applications which support end users based on information stored in object memories. Challenges arise from the open nature of object memories, where format and semantic of contained data is usually not known in advance. The framework applies plugins for visualization, data conversion and inferencing. A planning algorithm automatically constructs a data processing and visualization pipeline for each new object. Objects can become self-representative by providing their own plugins, which the framework dynamically integrates into the generated pipeline. We describe the framework architecture and give examples of three different systems implemented with our framework.
  • Keywords
    data visualisation; inference mechanisms; storage management; PiVis framework; data conversion; data processing; data visualization; digital object memories visualization; inferencing; object-related information; planning algorithm; shared storage; Data conversion; Data processing; Data visualization; OWL; Ontologies; Pipelines; Rendering (computer graphics); Digital Product Memory; Information Visualization; Intelligent Environments; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Environments (IE), 2011 7th International Conference on
  • Conference_Location
    Nottingham
  • Print_ISBN
    978-1-4577-0830-5
  • Electronic_ISBN
    978-0-7695-4452-6
  • Type

    conf

  • DOI
    10.1109/IE.2011.39
  • Filename
    6063383