Dynamic Multi-Lingual Information Retrieval System for XML-Compliant Data

• US 20090064040A1
• Filed: 03/04/2008
• Published: 03/05/2009
• Est. Priority Date: 08/30/2007
• Status: Abandoned Application

• Current Assignee: Compsci Resources LLC
• Original Assignee: Compsci Resources LLC
• Inventors: Wolf, Joseph, Summers, Nathan, Blondell, Michaela
• Application Number:
  US12/041,961
• Publication Number:
  US 20090064040A1
• Time in Patent Office: Days
• US Class Current: 715/810
• CPC Class Codes: G06F 16/832 Query formulation

Abstract

Data that is in a tagged format, such as XML, is dynamically accessed on demand, without the requirement for pre-parsing documents containing the data and storing it in a database. A dynamic processor discovers and processes taxonomy documents pertinent to a data request by traversing linked relationships between documents. For taxonomies that contain data in multiple languages, the processor dynamically generates and renders a menu based upon the languages contained in the taxonomy, to enable a user to select any one of the languages for display of the data.

Claims

1. An system for dynamically retrieving data from a plurality of stored XML-compliant documents in which the data is in a tagged format and has associated metadata, comprising:

a processor that includes;

a first component that, in response to a request for information, analyzes metadata stored in XML documents to identify one or more languages associated with data in the documents; and

a second component that retrieves data from the stored documents in accordance with the request, based upon the metadata analyzed by first component; and

an interface that receives the data that was retrieved from the documents and presents the retrieved data in one of the languages associated with the retrieved data, based upon a user preference.

2. The system of claim 1 wherein said data is XBRL-formatted data, and said metadata includes XBRL Taxonomies.

3. The system of claim 1, wherein said interface dynamically generates a menu containing each of the languages identified by the first component in the analyzed data, and displays said menu in response to a user command.

4. The system of claim 3, wherein said interface changes the order in which the identified languages appear in said menu, based upon selections made from said menu by a user.

5. The system of claim 4, wherein the languages are displayed in said menu in order of most-recently selected to least-recently selected.

6. The system of claim 1, wherein said processor and interface are implemented in a stand-alone computer program.

7. The system of claim 1, wherein said processor is implemented as a component of a client-server program.

8. The system of claim 1, wherein said processor and interface are implemented in a network accessible application.

9. The system of claim 2, wherein the XBRL Taxonomies contain dimensions, and said user interface provides the user with the ability to select individual segments of a dimension for presentation.

10. The system of claim 1, wherein said user interface presents the retrieved data in either tabular or graphical form, in dependence upon a user selection.

11. A method for dynamically retrieving data from a plurality of stored XML-compliant documents in which the data is in a tagged format and has associated metadata, comprising the Following steps:

in response to a request for information, analyzing metadata stored in XML documents to identify one or more languages associated with data in the documents;

retrieving data from the stored documents in accordance with the request, based upon the metadata analyzed in said analyzing step; and

presenting the retrieved data in one of the languages associated with the retrieved data, based upon a user preference.

12. The method of claim 11 wherein said data is XBRL-formatted data, and said metadata includes XBRL Taxonomies.

13. The method of claim 11, further including the step of generating a menu containing each of the languages identified during the analyzing step, and displaying said menu in response to a user command.

14. The method of claim 13, further including the step of changing the order in which the identified languages appear in said menu, based upon selections made from said menu by a user.

15. The method of claim 14, wherein the languages are displayed in said menu in order of most-recently selected to least-recently selected.

16. The method of claim 12, wherein the XBRL Taxonomies contain dimensions, and further including the step of providing the user with the ability to select individual segments of a dimension for presentation.

17. The method of claim 11, further including the step of presenting the retrieved data in either tabular or graphical form, in dependence upon a user selection.

18. A computer-readable medium containing a program that causes a computer to execute the following operations:

in response to a request for information, analyzing metadata stored in XML, documents to identify one or more languages associated with data in the documents;

retrieving data from the stored documents in accordance with the request, based upon the metadata analyzed in said analyzing step; and

presenting the retrieved data in one of the languages associated with the retrieved data, based upon a user preference.

19. The computer-readable medium of claim 18 wherein said data is XBRL-formatted data, and said metadata includes XBRL Taxonomies.

20. The computer-readable medium of claim 18, wherein said program causes the computer to execute the operation of generating a menu containing each of the languages identified during the analyzing step, and displaying said menu in response to a user command.

21. The computer-readable medium of claim 20, wherein said program causes the computer to execute the operation of changing the order in which the identified languages appear in said menu, based upon selections made from said menu by a user.

22. The computer-readable medium of claim 21, wherein the languages are displayed in said menu in order of most-recently selected to least-recently selected.