System and method for automatically generating information within an eletronic document

• US 20080243823A1
• Filed: 03/28/2007
• Published: 10/02/2008
• Est. Priority Date: 03/28/2007
• Status: Abandoned Application

• Current Assignee: eLumindata, Inc.
• Original Assignee: eLumindata, Inc.
• Inventors: Baris, Russell, Kruk, Arthur
• Application Number:
  US11/729,373
• Publication Number:
  US 20080243823A1
• Time in Patent Office: Days
• US Class Current: 707/5
• CPC Class Codes: G06F 40/18 of spreadsheets form-filling G06F40/174

Abstract

A method for automatically generating target information within an electronic document including the steps of: retrieving term-based identifying information from the electronic document that specifies the target information to be generated; accessing rules associated with generation of the target information based on the retrieved term-based identifying information; analyzing the identifying information and the rules to identify a type of target information to be generated and a formula that uses underlying data to generate the target information; automatically generating data source instructions based on the type of target information to be generated and the formula; and automatically processing the data source instructions to generate the target information within the electronic document.

Claims

1. A method for automatically generating target information within an electronic document comprising the steps of:

retrieving term-based identifying information from the electronic document that specifies the target information to be generated;

accessing rules associated with generation of the target information based on the retrieved term-based identifying information;

analyzing the identifying information and the rules to identify a type of target information to be generated and to determine a formula that uses underlying data to generate the target information;

automatically generating data source instructions based on the type of target information to be generated and the formula; and

automatically processing the data source instructions to generate the target information within the electronic document.

2. The method of claim 1, further comprising determining a preferred source of the underlying data, the step of automatically generating data source instructions being also based on the preferred source of underlying data.

3. The method of claim 2, wherein the step of determining the preferred source of the underlying data comprises:

accessing metadata from one or more potential sources of the underlying data; and

analyzing the metadata to identify the preferred source of the underlying data;

4. The method of claim 1, wherein the electronic document is a spreadsheet and the identifying information comprises at least one of a row header and a column header from the spreadsheet.

5. The method of claim 1, wherein the rules comprise one or more of following:

an equation, a data condition, format instructions, scaling instructions, unit of measure conversions and synonym rules.

6. The method of claim 1, wherein the preferred source of the underlying data is located on a webpage or database accessed through the Internet.

7. The method of claim 1, wherein the preferred source of the underlying data is a database.

8. The method of claim 1, further comprising automatically generating an identification code corresponding to the term-based identifying information and the generated data source instructions.

9. The method of claim 8, further comprising storing the generated identification code and its corresponding term-based identifying information and generated data source instructions so as to be accessible to generate data source instructions for generating other target information within the electronic document that has the same term-based identifying information.

10. The method of claim 3, wherein the step of analyzing the metadata to identify a preferred source of the underlying data comprises prioritizing the one or more potential sources of underlying data based on likelihood of providing appropriate underlying data.

11. The method of claim 10, wherein the step of prioritizing comprises determining whether data in each of the potential sources of underlying data is at a required level of aggregation.

12. The method of claim 10, wherein the step of prioritizing comprises determining whether data in each of the potential sources of underlying data can be aggregated to obtain a required level of aggregation.

13. The method of claim 5, wherein the rule comprises an equation, and the equation applies to a particular context.

14. The method of claim 5, wherein the rule comprises an equation, and the equation applied to a particular scenario.

15. A computer readable medium having computer executable instructions for performing a method for automatically generating target information within an electronic document comprising the steps of:

retrieving term-based identifying information from the electronic document that specifies the target information to be generated;

accessing rules associated with generation of the target information based on the retrieved term-based identifying information;

analyzing the identifying information and the rules to identify a type of target information to be generated and to determine a formula that uses underlying data to generate the target information;

automatically generating data source instructions based on the type of target information to be generated and the formula; and

automatically processing the data source instructions to generate the target information within the electronic document.

16. The computer readable medium of claim 15, further comprising determining a preferred source of the underlying data, the step of automatically generating data source instruction being also based on the preferred source of underlying data.

17. The computer readable medium of claim 16, wherein the step of determining a preferred source of the underlying data comprises:

accessing metadata from one or more potential sources of the underlying data; and

analyzing the metadata to identify the preferred source of the underlying data;

18. The computer readable medium of claim 15, wherein the electronic document is a spreadsheet and the identifying information comprises at least one of a row header and a column header from the spreadsheet.

19. The computer readable medium of claim 15, wherein the rules comprise one or more of following:

an equation, a data condition, format instructions, scaling instructions, unit of measure conversions and synonym rules.

20. The computer readable medium of claim 15, wherein the preferred source of the underlying data is located on the Internet.

21. The computer readable medium of claim 15, wherein the preferred source of the underlying data is a database.

22. The computer readable medium of claim 15, further comprising automatically generating an identification code corresponding to the term-based identifying information and the generated data source instructions.

23. The computer readable medium of claim 22, further comprising storing the generated identification code and its corresponding term-based identifying information and generated data source instructions so as to be accessible to generate data source instructions for generating other target information within the electronic document that has the same term-based identifying information.

24. The computer readable medium of claim 17, wherein the step of analyzing the metadata to identify a preferred source of the underlying data comprises prioritizing the one or more potential sources of underlying data based on likelihood of providing appropriate underlying data.

25. The computer readable medium of claim 24, wherein the step of prioritizing comprises determining whether data in each of the potential sources of underlying data is at a required level of aggregation.

26. The computer readable medium of claim 24, wherein the step of prioritizing comprises determining whether data in each of the potential sources of underlying data can be aggregated to obtain a required level of aggregation.

27. The computer readable medium of claim 19, wherein the rule comprises an equation, and the equation applies to a particular context.

28. The computer readable medium of claim 19, wherein the rule comprises an equation, and the equation applied to a particular scenario.

29. A system for automatically generating target information within an electronic document, comprising:

a header manager that retrieves term-based identifying information from the electronic document that specifies the target information to be generated;

a term manager that accesses rules associated with generation of the target information based on the retrieved term-based identifying information;

a derivation engine that analyzes the identifying information and the rules to identify a type of target information to be generated and to determine a formula that uses underlying data to generate the target information;

a query manager that automatically generates data source instructions based on the type of target information to be generated and the formula; and

a display manager that automatically processes the data source instructions to generate the target information within the electronic document.

30. The system of claim 29, further comprising a database manager that accesses one or more databases to retrieve underlying data based on the data source instructions.

31. The system of claim 30, wherein the database manager is an element of the query manager.

32. The system of claim 29, further comprising a relationship manager that stores relationship rules among the underlying data.