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Rule-based Database Visualization Yingcai Xiao

Rule-based Database Visualization Yingcai Xiao. Introduction Framework and System Design Implementation Case Study Summary and Future Work. Introduction. Information Visualization: data abstract not continuous application dependent hard to find a mapping into (x,y,z,v) Example:

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Rule-based Database Visualization Yingcai Xiao

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  1. Rule-based Database Visualization Yingcai Xiao

  2. Introduction Framework and System Design Implementation Case Study Summary and Future Work

  3. Introduction • Information Visualization: • data abstract • not continuous • application dependent • hard to find a mapping into (x,y,z,v) • Example: • Database visualization with a real world application.

  4. Introduction Database Visualization: to map non-graphical data stored in databases into graphical elements for the purpose of visual representation and visual analysis. Variables <A1, A2, …, An> and Values <V1, V2, …, Vn>

  5. Introduction G=M(D) Generic Visualization Techniques : Curves, Surfaces, Charts

  6. Challenge Generic Visualization Techniques: Data-independent Representations In-depth Visualization Needs: Data-dependent Representations

  7. Challenge Collision Diagram: An Example of Data-dependent Representation

  8. Challenge Data-independent Systems for Data-dependent Representations

  9. A Rule-based Framework G=M(D,R,T) Database Rule Base Graphics Base

  10. A Rule-based Framework Rules <rule> ::= <premise> <action> <premise> ::= ($AND <condition> … <condition>) <condition> ::= ($OR <condition> … <condition>) | ($RELATION <variable> <value>) $RELATION ::= < | > | = | >= | <= <action> :: = (SELECT <template>) $AND, $OR and $RELATION: functions returning True or Nil.

  11. A Rule-based Framework Graphics Template = Basic Shape + Attributes Attributes : location size orientation color style ... Attribute Value = f (A1, A2, …, An) (Attribute Rule)

  12. Implementation RbDbVis RbVis

  13. Implementation Template Editor

  14. Implementation Rule Editor

  15. Implementation Rule Interpreter Selection Rule: <rule> ::= <premise> <action> (1) Use SQL engine to execute the premises. select * from data where <premise> (2) If (result-set not empty) select <template> for each record Attribute Rule: Continuous: Attribute Value = f (A1, A2, …, An) Discrete: Table: Field Value -> Attribute Value

  16. Case Study Collision Diagram

  17. Case Study Collision Diagram

  18. Summary and Future Work • Data-dependent Rules and Templates • Rule-based Database Visualization: G=M(D,R,T) • Data-dependent In-depth Representations • Data-independent Systems • Need to Go 3D for Virtual Warehouses/Libraries

  19. Publications • "An Integrated Networking and Visualization Approach to Crash Data Analysis", Ping Yi, Yingcai Xiao and Saroja Devarakonda, Transportation Research Record 1768, 2001, 172-179. (Based on the following conference paper.) • "A Rule-based Model for Traffic Accident Visualization and Analysis", with P. Yi, Yingcai Xiao, A. Ciccolini, G. Frommer and T. Zhang, Journal of Computing in Civil Engineering, Vol. 15, No. 2, 2001, 129-136. • "Rule-based Database Visualization", Yingcai Xiao, P. Yi, Proceedings of Visual Data Exploration and Analysis VIII, San Jose, CA, January 22-23, 2001, 219-226. 

  20. Acknolegement This work was supported by a research grant from the Ohio Department of Transportation and a Faculty Research Fellowship from the University of Akron.

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