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
Link To Document