System, Apparatus and Method for Organizing Forecasting Event Data

• US 20090055433A1
• Filed: 07/25/2008
• Published: 02/26/2009
• Est. Priority Date: 07/25/2007
• Status: Abandoned Application

• Current Assignee: Gerard Group International LLC
• Original Assignee: Gerard Group International LLC
• Inventors: Freedman, Ilana
• Application Number:
  US12/180,014
• Publication Number:
  US 20090055433A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93

Abstract

The invention relates to a system and method for improving the accuracy of forecasting by analyzing information in advance of some forecast window. In one embodiment, the method includes the steps of: for each of a plurality of users acquiring a plurality of data; tagging each datum with information about the datum; creating weighted bi-directional relational links between data; aggregating and integrating the tagged data and weighted bi-directional links and collaboratively analyzing paths through the weighted bi-directional relational links to predict an event. In one embodiment, the system includes a data acquisition module for acquiring a plurality of data; a data tagger for tagging each datum with information about the datum; a network generator for creating weighted bi-directional relational links between datum; an aggregator to aggregate the tagged data and weighted bi-directional links, an integrator to integrate the data and link related data, and a collaborative analyzer for analyzing paths through the weighted bi-directional links to predict an event.

Claims

1. A method of organizing forecasting event data comprising the steps of:

for each of a plurality of users of the database;

acquiring a plurality of data;

tagging each datum with information about the datum;

creating weighted bi-directional relational links between data;

aggregating and integrating the tagged data and weighted bi-directional links from each of the plurality of users; and

collaboratively analyzing the plurality of data in response to the aggregated tagged data and weighted bi-directional links.

2. The method of claim 1 wherein the information about the data comprises:

source;

keywords;

context;

date and time;

probability of validity; and

weight.

3. The method of claim 1 wherein the information about the data comprises an indication of importance.

4. The method of claim 3 wherein the indication of importance is determined automatically.

5. The method of claim 1 further comprising the step of displaying paths through the weighted bi-directional relational links.

6. The method of claim 1 wherein the step of acquiring said plurality of data comprises the step of storing data from multiple sources.

7. The method of claim 1 wherein the steps of acquiring said plurality of data comprises the step of acquiring data in multiple formats and converting the data into a common format.

8. The method of claim 2 wherein the probability of validity of a datum is modified in response to other data.

9. The method of claim 1 further comprising the step of displaying the analysis.

10. The method of claim 9 wherein the display is multidimensional.

11. A system for organizing forecasting event data comprising:

a data acquisition module for acquiring a plurality of data;

a data tagger for tagging each data with information about the data; and

a network generator for creating weighted bi-directional relational links between data.

12. The system of claim 11 wherein the information about the data comprises:

source;

keywords;

context;

date and time;

probability of validity; and

weight.

13. The system of claim 11 wherein the information about the data comprises an indication of importance.

14. The system of claim 13 further comprising an importance determination module for automatically determining an indication of importance.

15. The system of claim 11 further comprising a display for displaying paths through the weighted bi-directional relational links.

16. The system of claim 11 further comprising a storage device for storing data from multiple sources.

17. The system of claim 11 wherein the data acquisition module acquires said plurality of data in multiple formats and converts said data into a common format.

18. The system of claim 12 further comprising a probability modification module for modifying the probability of validity of a datum in response to other data.

19. The system of claim 11 further comprising a display for displaying the analysis.