IP Library Granted Patent US 7,849,117
Granted Patent B2
US 7,849,117 · App. 09/759,498 · Granted Dec 7, 2010

Multi-term frequency analysis

Assignee: Knowledge Sphere, Inc.
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Quick Facts
Patent No.
US 7,849,117
App. No.
09/759,498
Granted
Dec 7, 2010
Kind
B2
Abstract

Operator system algorithm with ability to aid strategic decision-making. Multi-Term Frequency analysis has many embodiments. It has the capability of recursiveness and feedback, and with the capacity to self-modify its operators, as well as having the capability to follow externally set rules, as contained in an axiom set, for example, or as custom imposed by a user. Operator system is set up in the context of basic axioms of a particular field of application, which direct to an extent what the operators do. A preferred embodiment extensively dealt with shows its application as a decision aid over the field of patents and technical literature, helping to organize in a productive manner a mass of data, with useful scores and indices as output.

Claims (26)

1. A computer-readable storage medium having computerized tool for use on a computer apparatus having input interfaces for receiving information, a memory for storing information and a user interface, configured for facilitating forward looking strategic analyses of a collection of technical documents each having a searchable text and associated bibliographic information including a source and a date, comprising computer-assisted steps:

performing a first search to identify a subset (second collection) of documents focused on a particular field,

identifying those documents in the subset relevant to each of “m” “actions”;

identifying those documents in the subset relevant to each of “n” “objects”;

combining each of the “m” actions with each of the “n” objects to construct an “m”דn” array of “cells”, such that each of the cells is associated only with the documents in said subset that were identified as relevant both to the respective action and to the respective object;

applying at least two scoring metrics to the bibliographic data for the documents associated with each of the cells, at least one of the scoring metrics including a time weighted predictive factor; and

generating a graph showing each of the applied scoring metrics for each of the array cells.

2. The computerized tool of claim 1 wherein the actions and objects include specific instances of categories selected from the group consisting essentially of products, services, production methods, production applications, technologies, technological applications, chemical compounds, chemical indications, inventors, assignees, forward citations to a key reference, backward citations to a key reference, and combinations thereof.

3. The computerized tool of claim 2 wherein the documents include both issued patents and not yet issued patent applications.

4. The computerized tool of claim 3 wherein the source information includes patent assignees.

5. The computerized tool of claim 4 wherein the date information includes a filing date.

6. The computerized tool of claim 5 wherein the date information also includes an issue date for the issued patents.

7. The computerized tool of claim 6 wherein one of the scoring metrics includes an innovation measure which takes into account changes of patent activity over time.

8. The computerized tool of claim 6 wherein one of the scoring metrics includes a recent innovation measure which takes into account recently filed patent applications.

9. The computerized tool of claim 6 wherein one of the scoring metrics includes a measure of the relative position of a particular assignee within a particular cell.

10. The computerized tool of claim 4 wherein each scoring metric is focused on a different assignee.

11. The computerized tool of claim 10 wherein the graph is a spider graph showing each assignee's score for a predetermined number of key cells overlaid over the corresponding scores for at least two other assignees.

12. The computerized tool of claim 1 wherein the graph displays a visual quantitative comparison for each scoring metric.

13. The computerized tool of claim 12 wherein some of the cells are grouped into “clusters”, and a combined scoring metric is displayed for each cluster.

14. The computerized tool of claim 1 wherein the bibliographic source information includes the name of a subject person, organization, or event.

15. The computerized tool of claim 1 wherein the date bibliographic information includes a publication date.

16. The computerized tool of claim 1 wherein the time weighted predictive factor is based at least in part on a publication, creation, or issue date.

17. The computerized tool of claim 1 wherein one of the scoring metrics includes a concentration or frequency measure which takes into account distribution of the selected documents among their respective sources.

18. The computerized tool of claim 1 wherein one of the scoring metrics includes a composite measure of dominance, innovation, and predictive innovation.

19. The computerized tool of claim 1 wherein the actions and objects are crossed with a third dimension to form a three dimensional matrix.

20. The computerized tool of claim 1 wherein the graph is a bar graph which each bar showing a particular scoring metric applied to a particular cell.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2004
From: PRICEWATERHOUSECOOPER LLP
To: KNOWLEDGE SPHERE, INC.
Reel/Frame 015999/0139 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 12, 2001
From: BARNETT, PHILLIP W.; BROOK, ASHLEY M.; WYSE, JOSEPH
To: PRICEWATERHOUSE COOPERS LLP
Reel/Frame 011644/0251 →
Continuity (7)
Provisional Application 6017570500 · Jan 12, 2000
Provisional Application 6017693500 · Jan 18, 2000
Provisional Application 6018097400 · Feb 8, 2000
Provisional Application 6018672000 · Mar 3, 2000
Provisional Application 6019456200 · Apr 3, 2000
Provisional Application 6019457800 · Apr 5, 2000
Related Publication 20020082778A1 · Jun 27, 2002