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Tracking Footprints through an Information Space: Leveraging the Document Selections of Expert Problem Solvers

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Presentation on theme: "Tracking Footprints through an Information Space: Leveraging the Document Selections of Expert Problem Solvers"— Presentation transcript:

1 Tracking Footprints through an Information Space: Leveraging the Document Selections of Expert Problem Solvers http://www.cse.ogi.edu/footprints

2 Architecture Components SlimPad Superimposed Information Management Superimposed Information Management Mark Management

3 SLIMPad Demo

4 Model-Based Information XML Viewer SQL TM Browser XML DB Painting Painter by painter Influenced by mentionedbiographymentionedcritiqued Generic Rep. (XML model) Generic Rep. (XML model) convert Generic Rep. (Topic Map model) convert Generic Rep. (Relational model)

5 Data Represented and Transformed Data Extractor (format) Apply Mapping Rules Mapping Rules Data Injector (format) Generic Representation Generic Representation New Generic Representation New Generic Representation

6 Our Approach We define a metamodel to describe models Uniformly represent all levels Topic Map Topic Map Defintions Topic Map Instances XML DTD XML Document Basic Set of Abstractions Model Constructs and Relationships Schema-Level Data Instance-Level Data Metamodel

7 Mapping Rules are Flexible Mapped Converted Inter-Model Inter-Schema Model-to-Schema Model B Schema A Instances A Model A Schema A Instances A Model A Model B Mapped Schema ASchema B Instances AInstances B Model A Model B Schema ASchema B Instances AInstances B

8 Extractor and Injector Creation For example, in SlimPad we could generate the application’s data structure definitions SlimPad Bundle/Scrap Data Structures Generic Representation Generic Representation We are also looking into generating format parsers (e.g., for XML)


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