Method and System for Automatically Producing Computer-Aided Control and Analysis Apparatuses

• US 20070255670A1
• Filed: 05/18/2004
• Published: 11/01/2007
• Est. Priority Date: 05/18/2004
• Status: Abandoned Application

• Current Assignee: Netbreeze GmbH (Microsoft Corporation)
• Original Assignee: Netbreeze GmbH (Microsoft Corporation)
• Inventors: Keller, Leo, Ruf, Francois, Prochazka, Ales
• Application Number:
  US11/596,809
• Publication Number:
  US 20070255670A1
• Time in Patent Office: Days
• US Class Current: 706/50
• CPC Class Codes: G06F 16/244 Grouping and aggregation
• CPC Class Codes: G06F 16/2471 Distributed queries
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

The invention relates to a system and method for the automated generation of complex control and/or analysis devices, whereby a task-specific organizational profile based on at least task condition data and/or object condition data and/or transfer condition data is generated. A first processing unit having at least one data aggregation module is generated. A second processing unit having at least one data analysis module is generated. A third processing unit having at least one data representation module is generated. Data channels generated by means of at least one work flow are connected to the at least one data aggregation module and/or data analysis module and/or data representation module. A data flow is defined by means of data channels between the modules in accordance with the task-specific organizational profile.

Claims

1. A method for automatically producing complex control and/or analysis apparatuses, which control and analysis apparatuses are used to aggregate, analyze and present data from decentralized databases (50), characterized

in that a task-specific organization profile (20) is produced on the basis of at least task condition data (21) and/or object condition data (22) and/or transfer condition data (23),

in that a first processing unit (30) having at least one data aggregation module (301, 302, . . . ) is generated, with each data aggregation module (301, 302, . . . ) being allocated one or more predefined data transmission protocols (300) and/or access protocols (300) for the databases (50) which are to be analyzed,

in that a second processing unit (31) having at least one data analysis module (311, 312, . . . ) is generated, with each data analysis module (311, 312, . . . ) being allocated one or more predefined metadata types (310) and/or analysis units (310), which metadata types and/or analysis units are taken as a basis for analyzing aggregated data from the decentralized databases (50),

in that a third processing unit (32) having at least one data representation module (321, 322, . . . ) is generated, with each data representation module (321, 322, . . . ) being allocated one or more predefined data presentation modules (320), and in that data channels (41) generated by a workflow module (40) are used to connect the at least one data aggregation module (301, 302, . . . ) and/or data analysis module (311, 312, . . . ) and/or data representation module (321, 322, . . . ) in an association, with a flow of data being defined by means of data channels (41) between the modules (301, 302, 311, 312, 321, 322, . . . ) in line with the task-specific organization profile (20).

2. The method as claimed in claim 1, characterized in that the task-specific organization profile (20) is produced automatically by means of an expert module (27).

3. The method as claimed in claim 1, characterized in that the association by the data channels (41) is made at least to some extent dynamically.

4. The method as claimed in claim 1, characterized in that the databases (50) are accessed via network nodes connected to a network (60).

5. The method as claimed in claim 1, characterized in that the metadata (310) are generated at least to some extent dynamically.

6. The method as claimed in claim 5, characterized in that the metadata (310) are generated at least to some extent dynamically on the basis of the data from the task-specific organization profile (20).

7. The method as claimed in claim 1, characterized in that output data from the control and/or analysis apparatuses and/or references to data output are made available to a user in a form stored in a data store in a content module.

8. The method as claimed in claim 1, characterized in that at least one of the decentralized databases (509) is used to store output data from the control and/or analysis apparatuses, with the data aggregation modules (301, 302, . . . ) accessing this at least one database.

9. The method as claimed in claim 1, characterized in that data aggregation modules (301, 302, . . . ), data analysis modules (311, 312, . . . ) and data representation modules (321, 322, . . . ) are connected at least to some extent recursively by means of the data channels (41) via the workflow module (40).

20. A computer program product which can be loaded into the internal memory of a digital computer and comprises software code sections which can be used to perform the steps as claimed in claim 1 when the product is running on a computer.

10. A system for automatically producing complex control and/or analysis apparatuses, which complex control and analysis apparatuses can be used to aggregate, analyze and present data from decentralized databases (50), characterized

in that the system comprises a first processing unit (30) having at least one data aggregation module (301, 302, . . . ), with each data aggregation module (301, 302, . . . ) being able to be allocated one or more predefined data transmission protocols (300) and/or access protocols (300) for the databases (50) which are to be analyzed,

in that the system comprises a second processing unit having at least one data analysis module (311,312, . . . ), with each data analysis module (311, 312, . . . ) being able to be allocated one or more predefined metadata types (310) and/or analysis units (310), which can be taken as a basis for analyzing aggregated data from the decentralized databases (50),

in that the system comprises a third processing unit (32) having at least one data representation module (321, 322, . . . ), with each data representation module (321, 322, . . . ) being able to be allocated one or more predefined data presentation modules (320), and

in that the system comprises a workflow module (40) which can be used to associate the at least one data aggregation module (301, 302, . . . ) and/or data analysis module (311, 312, . . . ) and/or data representation module (321, 322, . . . ) with one another and to define a flow of data between the modules (301, 302, 311, 312, 321, 322, . . . ) in line with a task-specific organization profile (20) on the basis of task condition data (21) and/or object condition data (22) and/or transfer condition data (23).

11. The system as claimed in claim 10, characterized in that the system comprises an expert module (27) for automatically producing the task-specific organization profile (20).

12. The system as claimed in claim 10, characterized in that the system comprises means for generating and/or associating the data channels (41) at least to some extent dynamically.

13. The system as claimed in claim 10, characterized in that the databases (50) comprise network nodes which can be used to access the databases (50) via a network (60).

14. The system as claimed in claim 10, characterized in that the system comprises means for dynamically generating the metadata (310).

15. The system as claimed in claim 14, characterized in that the dynamic generation of the metadata (310) is based at least to some extent on the data from the task-specific organization profile.

16. The system as claimed in claim 10, characterized in that output data from the control and/or analysis apparatuses and/or references to data outputs are stored in a data store (71) in a content module (70) such that they can be accessed by a user.

17. The system as claimed in claim 10, characterized in that at least one of the decentralized databases (50) comprises output data from the control and/or analysis apparatuses.

18. The system as claimed in claim 10, characterized in that data aggregation modules (301, 302, . . . ), data analysis modules (311, 312, . . . ) and data representation modules (321, 322, . . . ) are connected recursively by means of the data channels (41) via the workflow module (40).

19. A computer program product which comprises a computer-readable medium containing computer program code means for automatically producing complex control and/or analysis apparatuses, which computer program product is used to aggregate, analyze and present data from decentralized databases,

in that a first processing unit (30) having at least one data aggregation module (301, 302, . . . ) is generated, with each data aggregation module (301, 302, . . . ) being allocated one or more predefined data transmission protocols (300) and/or access protocols (300) for the databases (50) which are to be analyzed,

in that a second processing unit (31) having at least one data analysis module (311, 312, . . . ) is generated, with each data analysis module (311, 312, . . . ) being allocated one or more predefined metadata types (310) and/or analysis units (310), which are taken as a basis for analyzing aggregated data from the decentralized databases (50),

in that a third processing unit (32) having at least one data representation module (321, 322, . . . ) is generated, with each data representation module (321, 322, . . . ) being allocated one or more predefined data presentation modules (320), and

in that a workflow module (40) is used to connect the at least one data aggregation module (301, 302, . . . ), data analysis module (311, 312, . . . ) and data representation module (321, 322, . . . ) in an association, with the flow of data being defined by means of data channels (41) between the modules (301, 302, 311, 312, 321, 322, . . . ) in line with a task-specific organization profile (20).