Granted Patent B2

US 8,725,552 · App. 13/688,101 · Granted May 13, 2014

Abstract

Claims (47)

1. A computer-implemented method, comprising:

importing data of a publication;

transforming the data into a structured schema including dividing a portion of the publication into a plurality of sub-sections;

ingesting the structured schema to determine a context of the data and one or more key concepts, wherein ingesting comprises:

targeting one or more of the sub-sections using natural language and one or more controlled vocabulary phrases, and

drawing associations between the data and a plurality of profiles; and

generating a score based on the associations between the raw data and the profiles;

wherein at least one of the above is performed on at least one processor.

2. A computer-implemented method according to claim 1 , further comprising generating meta-data based on the determined context of the data.

3. A computer-implemented method according to claim 1 , further comprising generating one or more quantitative metrics having a temporal component based on the ingested data.

4. A computer-implemented method according to claim 1 , further comprising assigning a weight to at least one of the profiles.

5. A computer-implemented method according to claim 4 , further comprising adjusting the weight.

6. A computer-implemented method according to claim 1 , further comprising generating a sub-score for each of the associations between the raw data and the profiles; and summing the sub-scores to generate the score.

7. A computer-implemented method according to claim 1 , further comprising measuring a confidence in at least one of the associations by calculating a number of times the at least one of the associations has been associated with previous data.

8. A computer-implemented method according to claim 7 , further comprising elevating a weighting of the at least one of the associations when the at least one of the associations has been associated with previous data.

9. A computer-implemented method according to claim 1 , further comprising displaying the score to a user through a user interface.

10. A computer-implemented method according to claim 1 , further comprising checking the data against a plurality of predefined key words.

11. A system comprising: at least one programmable processor; and a non-transitory machine-readable medium storing instructions that, when executed by the at least one programmable processor, perform the method comprising:

importing data of a publication;

transforming the data into a structured schema including dividing a section of the publication into a plurality of sub-sections;

ingesting the structured schema to determine a context of the data and one or more key concepts, wherein ingesting comprises:

targeting one or more of the sub-sections using natural language and one or more controlled vocabulary phrases, and

drawing associations between the data and a plurality of profiles; and

generating a score based on the associations between the raw data and the profiles;

wherein the at least one of the above is performed on at least one processor.

12. The system according to claim 11 , further comprising generating meta data based on the determined context of the raw data.

13. The system according to claim 11 , further comprising generating one or more quantitative metrics having a temporal component based on the ingested data.

14. The system according to claim 11 , further comprising assigning a weight to at least one of the profiles.

15. The system according to claim 14 , further comprising adjusting the weight.

16. A computer-implemented method according to claim 1 , further comprising determining a source of the publication, wherein generating the score comprises applying a weight to the associations between the raw data and the profiles based on the source of the publication.

17. A computer-implemented method according to claim 1 , further comprising measuring a confidence in an association through triangulation of the profiles once one or more of the associations have been drawn.

18. A computer-implemented method comprising:

importing first data of a first publication from a first source;

transforming the first data into a first structured schema including dividing a portion of the first publication into a plurality of first sub-sections;

ingesting the first structured schema to determine a context of the first data and one or more key concepts, wherein ingesting comprises:

targeting one or more of the first sub-sections using natural language and one or more controlled vocabulary phrases, and

drawing associations between the data and a plurality of profiles;

importing second data of a second publication from a second source different from the first source;

transforming the second data into a second structured schema including dividing a portion of the second publication into a plurality of second sub-sections;

ingesting the second structured schema to determine a context of the second data and one or more key concepts, wherein ingesting comprises:

targeting one or more of the second sub-sections using natural language and one or more controlled vocabulary phrases, and

drawing additional associations between the second data and the profiles;

generating a first sub-score for each of the associations between the first data and the profiles based on a first weighting assigned to the first source;

generating a second sub-score for each of the additional associations between the second data and the profiles based on a second weighting assigned to the second source; and

generating a compound score that includes the first and second sub-scores;

wherein at least one of the above is performed on at least one processor.

19. A computer-implemented method according to claim 18 , wherein the second publication is published after the first publication, the method further comprises analyzing one or more variables common to the first and second publications on a temporal basis to determine a temporal relationship therebetween.

Assignments (13)