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Data Visualisation & Visual Querying Florian Campora Hugo Questroy Andrea Dini Adel Barkallah Laurent Garambois.

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Presentation on theme: "Data Visualisation & Visual Querying Florian Campora Hugo Questroy Andrea Dini Adel Barkallah Laurent Garambois."— Presentation transcript:

1 Data Visualisation & Visual Querying Florian Campora Hugo Questroy Andrea Dini Adel Barkallah Laurent Garambois

2 Contents Data Visualisation  Need & Concept  Type of Information  Visual Information seeking mantra Visual Querying  Need & Concept  Techniques for Visual Querying

3 Data Visualisation

4 Data Visualisation Need & Concept Need  Data versus Information  Novice users Concept  No standard method  Understand the type of information

5 Type of Information 1-Dimensional Inxight Table Lens

6 Type of Information 2-Dimensional ESRI ArcExplorer

7 Type of Information 3-Dimensional WebForager & WebBook

8 Type of Information Temporal LifeLines developed by University of Maryland

9 Type of Information Multi-Dimensional LifeLines developed by University of Maryland

10 Type of Information Tree Inxight Star Tree Viewer

11 Type of Information Network NSFNET11 Traffic

12 Visual Information seeking Mantra “Overview first, zoom and filter, and then details-on-demand” Ben Schneiderman, July 96

13 Visual Information seeking Mantra Focus & Context Definition Example: The Fisheye approach

14 Visual Information seeking Mantra Focus & Context Fisheye view Objects in the centre of the view are magnified and objects further from the centre are reduced in size

15 Visual Information seeking Mantra Focus & Context Advantage  The user can control the distortion problem Disadvantage  Always keep all the information on the screen, which gets cluttered.  The view of a graph is changing according to the user perspective.

16 Visual Information seeking Mantra Zooming & Filtering Definition Dynamic queries example: A Geographic application

17 Visual Information seeking Mantra Details-on-demand Definition Spotfire

18 Visual Querying

19 Visual Querying Need & Concept Need  Adapted to novice users Concept  WIMP interfaces

20 Visual Querying Techniques for visual querying Form-based visual querying

21 Visual Querying Techniques for visual querying An example: Enviro

22 Visual Querying Techniques for visual querying An example for OODB: VOODOO

23 Visual Querying Techniques for visual querying An example for OODB: VOODOO

24 Visual Querying Techniques for visual querying Diagram Based Visual querying

25 Visual Querying Techniques for visual querying QBD (Query By Diagram) : SUPER software example.

26 Visual Querying Techniques for visual querying Icon based data querying : A Radiological Software

27 Visual Querying Techniques for visual querying QBI (Query By Icon) : Marmotta software example

28 Visual Querying Techniques for visual querying Hybrid based data querying : Hybrid approach in A Semantic Knowledgeable Interface (S.K.I.)

29 Data Visualisation & Visual Querying Florian Campora Hugo Questroy Andrea Dini Adel Barkallah Laurent Garambois


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