GRAPHICAL METHOD OF SEMANTIC ORIENTED MODEL ANALYSIS AND TRANSFORMATION DESIGN

• US 20090024965A1
• Filed: 07/21/2007
• Published: 01/22/2009
• Est. Priority Date: 07/21/2007
• Status: Abandoned Application

• Current Assignee: Aleksandr Zhdankin, Eduard Babkin
• Original Assignee: Aleksandr Zhdankin, Eduard Babkin
• Inventors: Zhdankin, Aleksandr, Babkin, Eduard
• Application Number:
  US11/781,250
• Publication Number:
  US 20090024965A1
• Time in Patent Office: Days
• US Class Current: 715/863
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

User is given the new modeling capability, a Semantic Lasso, which allows grouping of the model elements, so they can be mapped or transformed to the high-level concepts of business ontology. Such grouping is done by drawing of the line contour around relevant to advertised high-level concept model elements on one of the OMG Unified Modeling Language (UML) class diagrams. In addition the user is given a capability to specify extension points of the high-level concepts and the projection of such extension points to the individual model. Another tooling capability, a Semantic Transformation Lens, allows dynamic graphical projection of the individual model fragments to the high-level concepts as those elements are being selected. Semantic Transformation Lens provides the mechanism of reasoning-based smart selection.

Claims

1. The graphical method of semantic-oriented model transformation design comprising the steps of:

(a) grouping of the UML model elements, so they can be mapped or transformed to the high-level concepts of business ontology by selecting the groups of model elements, such as classes and associations in the object-oriented terms using the new tooling capability named as Semantic Lasso;

(c) assigning selected groups to the high-level modeling abstractions, otherwise known as high-level business concepts.

2. The selection method according to claim 1 wherein step (a) can be performed:

(a) by drawing of the arbitrary line contour around relevant to advertised high-level concept model elements on one of the OMG Unified Modeling Language (UML) class diagrams associated with the model being transformed;

(b) by simple mechanism of multi-selection, which is standard capability to most of the modern Graphical User Interface (GUI) based applications.

3. The selection method according to claim 2 wherein selection is performed in accordance with step (a) the contour does not necessary has to be closed. The contour may be left open in order for the design application to determine how to complete selection automatically.

4. The method of specifying the extension points of the high-level concepts and the projection of such extension points to the individual model upon completion of selection in accordance with claim 1.

5. The graphical method of semantic-oriented model analysis, which can be applied to the models after the mapping phase, when the high-level concepts are created and assigned according to the claim 1 comprising the steps of:

(a) simple graphical selection of groups of model elements, such as classes and associations in the object-oriented terms using the new tooling capability named as Semantic Transformation Lens;

(b) dynamic graphical projection of the individual model fragments to the high-level concepts as those elements are being selected.

6. The selection method according to claim 4 wherein step (a) can be performed:

(a) by drawing of the arbitrary line contour around model elements on one of the OMG Unified Modeling Language (UML) class diagrams associated with the model being analyzed, which visually groups relevant model element together;

(b) by simple mechanism of multi-selection, which is standard capability to most of the modern Graphical User Interface (GUI) based applications.

7. The selection method according to claim 6 wherein selection is performed in accordance with step (a) the contour does not necessary has to be closed. The contour may be left open in order for the design application to determine how to complete selection automatically.