System, method and computer program product for a behavioral database providing quantitative analysis of cross border policy process and related search capabilities

• US 9,436,726 B2
• Filed: 06/22/2012
• Issued: 09/06/2016
• Est. Priority Date: 06/23/2011
• Status: Active Grant

• Current Assignee: Bcmstrategy, Inc.
• Original Assignee: BCM International Regulatory Analytics LLC
• Inventors: Matthews, Barbara C.
• Primary Examiner(s): Liao, Jason
• Assistant Examiner(s): Brooks, David T
• Application Number:
  US13/531,496
• Publication Number:
  US 20130159289A1
• Time in Patent Office: 1,537 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 50/18 Legal services
• CPC Class Codes: G06Q 50/26 Government or public services business processes related to the transportation industry G06Q50/40

Abstract

A system, method, or computer program product for translating non-quantitative, text-based data into a quantitative risk management tool(s) including: receiving, by a computer processor(s), non-quantitative data relating to cross-border public policy; receiving, by the processor(s), at least one tag relating to said non-quantitative data; storing, by the processor(s), said non-quantitative data and said at least one tag in a database; and providing, by the processor(s), quantitative risk management tools designed to provide customized, automatic daily graphical illustrations of policy activity levels on a cross-border basis using concepts and other meta-tagging tools to generate graphs. Tools may mining data to extract quantitative and graphical information from stored, tagged non-quantitative data and may semantically search those documents as well as assess correlations and covariances of cross-border policy processes, and deliver quantitative and/or graphical output results.

Claims

1. A computer-implemented method comprising:

translating official sector action non-quantitative text-based data into at least one quantitative risk management tool that electronically anticipates at least one trajectory of at least one official sector cross-border public policy data comprising;

receiving electronically, by at least one computer processor, said official sector action non-quantitative text-based data relating to the at least one official sector cross-border public policy data;

receiving electronically, by the at least one computer processor, at least one tag or code relating to said official sector action non quantitative text-based data, comprising;

tagging at least one concept electronically, by the at least one computer processor, of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on;

identifying electronically, by the at least one computer processor, occurrence of a group of words appearing together indicative of a specific concept in said at least one official sector action activity;

associating electronically, by the at least one computer processor, said official sector action non-quantitative text-based data with said at least one tag or code, and storing in an electronic computer database;

processing electronically, by the at least one computer processor, an algorithmic calculation to obtain the at least one anticipated official sector cross-border public policy data, wherein said algorithmic calculation comprises;

linking electronically, by the at least one computer processor, the at least one anticipated official sector cross-border public policy data with said official sector action non-quantitative text-based data and said electronic database;

enabling electronically, by the at least one computer processor, a semantic search of said electronic database;

extracting electronically, by the at least one computer processor, quantitative data of at least one official sector action activity of the at least one official sector cross-border public policy data from said electronic database, wherein said extracting electronically said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data comprises;

identifying electronically, by the at least one computer processor, correlations or covariances between a plurality of said at least one official sector action activity of said at least one official sector cross-border public policy data;

receiving electronically, by the at least one computer processor, said at least one tag or code, and said at least one concept;

weighting electronically, by the at least one computer processor, said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on;

said at least one tag or code, and said at least one concept;

a proximity of said at least one official sector action activity to a decision point; and

a relative importance of an activity level of said at least one official sector action activity; and

anticipating electronically, by the at least one computer processor, the at least one trajectory of the at least one official sector cross-border public policy data of said at least one official sector cross-border public policy based on;

said at least one tag or code, and said at least one concept;

said identifying electronically of said correlations or covariances, and

said weighting electronically based on;

said proximity to the deadline, and

said relative importance of said activity level; and

generating, by the at least one computer processor, at least one graphical representation of said quantitative data and the anticipated at least one trajectory of the at least one official sector cross-border public policy.

2. The method according to claim 1, further comprising:

receiving, by the at least one computer processor, a query regarding said official sector action non-quantitative text-based data;

searching, by the at least one computer processor, said database based on said query;

providing, by the at least one computer processor, at least one search result of said official sector action non-quantitative text-based data made accessible through visual representations using at least one graphical display interface identifying, by the at least one computer processor, at least one anticipated potential correlation or covariance among a plurality of quantified cross-border policy processes; and

determining, by the at least one computer processor, said at least one policy correlation, covariance, or trajectory trend projection.

3. The method according to claim 2, wherein said receiving said query comprises at least one of:

receiving, by the at least one computer processor, a web based query;

or

receiving, by the at least one computer processor, a selection by a user of a portion of a graphical user interface.

4. The method according to claim 2, wherein said providing said search results comprises:

generating, by the at least one computer processor, at least one customized graph.

5. The method according to claim 4, wherein said generating said at least one customized graph comprises generating at least one visual analytical graph depicting at least one identified or projected official sector policy trajectory, correlation, covariance, and overlap, said method comprising at least one of:

generating, by the at least one computer processor, at least one customized bar graph;

generating, by the at least one computer processor, at least one customized pie chart graph;

generating, by the at least one computer processor, at least one Venn diagram;

generating, by the at least one computer processor, a chart;

generating, by the at least one computer processor, at least one line graph or time series, pairing important policy-making meetings with selected issue-specific at least one of;

regulatory policy processes, related research, or speeches;

generating, by the at least one computer processor, at least one customized relationship map graph;

generating, by the at least one computer processor, at least one customized graph comprising a plurality of portions, wherein each of said plurality of portions is hyperlinked to said official sector action non-quantitative text-based data;

or

generating, by the at least one computer processor, at least one customized graph comprising a plurality of at least one of;

segments, bars, regions, areas, or lines,

wherein each of said plurality of said segments, bars, regions, areas, or lines are hyperlinked to said official sector action non-quantitative text-based data.

6. The method according to claim 2, wherein said providing said search results of said official sector action non-quantitative text-based data, comprises:

providing, by the at least one computer processor, said search results of said official sector action non-quantitative text-based data displayed in said graphical, quantitative manner, at least one of;

at least once per day;

or

on a periodic basis.

7. The method according to claim 1, wherein said receiving said official sector action non-quantitative text-based data comprises at least one of:

receiving and storing, by the at least one computer processor, a portable document format (pdf) document or other document issued by an official sector entity in a non-editable format;

receiving, by the at least one computer processor, a communiqué

document;

receiving, by the at least one computer processor, a publicly available draft legislation document;

receiving, by the at least one computer processor, a final legislation document;

receiving, by the at least one computer processor, a publicly available draft regulation document;

receiving, by the at least one computer processor, a publicly available official sector research document issued by a national, supranational, or international official sector entity;

receiving, by the at least one computer processor, a publicly available document or testimony submitted to a national or supranational legislative, parliamentary, or regulatory body;

receiving, by the at least one computer processor, news items and other information shared publicly and voluntarily by the publishing entity through at least one social media or publication platform;

or

receiving, by the at least one computer processor, information shared publicly by the publishing official sector entity or by a media company on at least one social media platform.

8. The method according to claim 1, further comprising at least one secure, confidential computer processor identifying at least one cross-border policy trajectory projection using said graphical representation tools to a set of users.

9. The method according to claim 1, wherein said receiving said at least one tag comprises assigning a number value that translates qualitative data comprising at least one of a concept, type, date of action, or official sector entity name, into a machine-readable quantitative element capable of being analyzed to identify at least one of a correlation or a covariance on a cross-border basis.

10. The method according to claim 1, wherein said receiving at least one tag or code comprises at least one of:

receiving, by the at least one computer processor, at least one tag or code for at least one concept;

receiving, by the at least one computer processor, at least one tag or code of at least one pre-determined issue of interest;

receiving, by the at least one computer processor, at least one tag or code for at least one implementation date, or at least one date by which a comment is due, if any;

receiving, by the at least one computer processor, at least one tag or code for at least one issuance date;

receiving, by the at least one computer processor, at least one tag or code for at least one category type;

receiving, by the at least one computer processor, at least one tag or code for at least one issuing institution;

or

receiving, by the at least one computer processor, at least one tag or code for at least one point value for an official sector action activity level.

11. The method according to claim 1, further comprising:

generating, by the at least one computer processor, an analytical timeline pairing cross-border or national policymaking meetings with specific rule-making processes for at least one of;

individual issues in any jurisdiction covered by the system;

maturity structures;

or

expiration dates for a user'"'"'s financial contracts.

12. The method, according to claim 1, further comprising:

receiving, by the at least one computer processor, a search query based on at least one official sector institution; and

providing, by the at least one computer processor, at least one set of at least one quantitative cross-border analysis and at least one anticipated policy trajectory and weighting.

13. The method, according to claim 1, wherein the official sector cross-border public policy data relates to at least one policy comprising at least one of:

regulatory policy;

financial regulatory policy;

economic policy;

trade policy;

health policy;

agriculture policy;

development policy;

or

intellectual property rights policy.

14. The method according to claim 1, wherein said at least one official sector action activity of said at least one official sector cross-border public policy comprises:

making or publishing of at least one publicly available document at least one of;

official sector speech PDF,

official sector speech activity,

official sector speech document,

official sector statement or decision appearing in publicly available news media,

official sector draft regulation,

official sector final regulation,

official sector draft legislation,

official sector final legislation,

official sector parliamentary hearing,

official sector research,

IMF research,

BIS research,

Central Bank research,

an official sector decision reported by publicly available media or broadcast publicly over airwaves or internet broadcast,

official sector research activity,

official sector communiqué

,

news report regarding official sector action,

text issued by a government,

research document issued by at least one of;

a government ministry,

an international institution, or

a policymaker,

official sector communication, or

testimony or official statement submitted to at least one of;

a national, or

supranational,

legislative,

parliamentary, or

regulatory body,

by at least one official sector entity, or representative of the at least one other official sector entity.

15. The method according to claim 14, wherein the at least one official sector entity comprises at least one of:

at least one government;

at least one official sector international organization;

or

at least one official sector supranational organization.

16. The method according to claim 1, further comprising:

providing at least one point value or at least one weighting based on a type of said at least one official sector action activity of said at least one cross-border policy action.

17. The method according to claim 1, further comprising at least one of:

capturing at least one cross-border correlation between at least two of said at least one activities;

or

capturing at least one cross-border policy covariance of at least two of said at least one activities.

18. The method according to claim 1, wherein said graphical representation comprises at least one of:

a pie chart;

a line chart,

a timeline;

a relationship map;

a relationship chart;

a decision-point chart;

a Venn diagram;

or

an interactive visual analytical graph.

19. The method according to claim 1, further comprising at least one of:

wherein said providing comprises at least one of;

providing as part of a social platform and at least one of;

providing at least one indication of at least one user interaction with respect to at least one of said predetermined cross-border policy;

or

providing at least one social platform comprising;

facilitating at least one of;

 

user access,

 

tracking parallel issues,

 

tracking trending issues,

 

tracking selected issues,

 

tracking strategic issues,

 

tracking issues, or

 

user collaboration.

20. The method according to claim 1, wherein said extracting electronically of said quantitative data of said at least one official sector action activity comprises at least one of:

receiving or generating, by the at least one computer processor, tagging, coding, or weighting of said at least one official sector action activity based on at least one of;

an anticipated implementation date of at least one of;

at least one regulation, or

at least one legislation;

date of creation of said at least one official sector action activity;

date of appearance of said at least one official sector action activity;

date comments required of said at least one official sector action activity;

anticipated implementation date of said at least one official sector action activity;

issuing institution of said at least one official sector action activity;

or

type of said at least one official sector action activity.

21. The method according to claim 1, further comprising:

determining and demonstrating connections among conceptual issues;

tracking key dates comprising at least one of;

historical dates,

current dates, or

future dates;

supporting internal strategic decision-making in relation to quantified political risk; and

supporting scenario analysis.

22. The method according to claim 1, wherein said extracting, by the at least one computer processor, of said quantitative data of said official sector action activity of said at least one official sector cross-border public policy data from said official sector action non-quantitative text-based data, comprises:

assigning a quantitative value or a numerical value regarding official sector activity levels for at least one of an observation, or an occurrence;

aggregating said official sector action activity level over a time period;

weighting said official sector action activity level based on an official sector action activity type; and

providing analytics regarding said extracted, aggregated, and weighted official sector action activity data in order to anticipate future likely policy trajectories.

23. The method according to claim 1, further comprising at least one of:

tracking, by the at least one computer processor, a plurality of policy issues in parallel;

tracking, by the at least one computer processor, at least one issue trending on a policy tracking platform;

tracking, by the at least one computer processor, aggregated official sector action activity levels over a time period;

tracking, by the at least one computer processor, a most selected policy issue;

or

tracking, by the at least one computer processor, a most active policy issue.

24. The method according to claim 1, comprises:

meta-data tagging, by the at least one computer processor, said at least one official sector action activity of said official sector action non-quantitative text-based data with tags comprising;

an issuing entity,

a date issued,

a document type,

a date comments are due, if any, and

a concept; and

wherein said at least one official sector action activity comprises

an observation, or

occurrence,

said observation or occurrence comprising at least one of;

an official sector policy research paper,

an official sector policy hearing, or

an official sector policy speech,

to create the electronic database,

wherein the electronic database comprises;

a customized, edited concept-based database configured to deliver analytical content automatically;

identifying, by the at least one computer processor, quantitative measures by semantic analysis of said official sector action non-quantitative text-based data;

enabling electronic searching, by the at least one computer processor, of the customized, edited concept-based database;

computing, by the at least one computer processor, volumes of a plurality of activity types;

computing, by the at least one computer processor, an activity level for an issue of interest for a given time period by coding a point value for said activity level;

generating, by the at least one computer processor, an analytical timeline by charting decision points;

enabling generating, by the at least one computer processor, of customized electronic quantitative graphs and customized electronic quantitative timelines from data in the customized, edited concept-based database;

incorporating, by the at least one computer processor, at least one social media solution providing insight into which issues in the customized, edited concept-based database are “

trending”

; and

providing capacity, by the at least one computer processor, for secure, confidential electronic collaboration among corporate and trade association teams.

25. The method according to claim 1, wherein said tagging and weighting are not user adjustable.

26. The method according to claim 1, further comprising:

a user interface control limited to performing queries and configured to receive user selection of preferred display format for query results.

27. The method according to claim 1, wherein said translating said official sector action non-quantitative text-based data into at least one quantitative risk management tool that electronically anticipates said at least one trajectory of said at least one official sector cross-border public policy data comprises:

translating only said official sector action non-quantitative text-based data.

28. The method according to claim 1, wherein said at least one correlation is a correlation in time and not consensus.

29. An electronic computer implemented data processing system comprising:

at least one computer memory; and

at least one computer processor, coupled to said at least one memory,

said at least one computer processor adapted to translate official sector action non-quantitative text-based data into at least one quantitative risk management tool that anticipated at least one trajectory of at least one official sector cross-border public policy data comprising;

wherein the at least one computer processor coupled to the at least one computer memory, is configured to

convert official sector action non-quantitative text-based data relating to at least one action of the at least one official sector cross-border public policy data into quantitative components;

wherein said processor is configured to;

receive at least one tag or code relating to said official sector action non-quantitative text-based data, comprising;

wherein said processor is configured to;

receive at least one concept tag of said at least one official sector action activity of the at least one official sector cross-border public policy data based on;

wherein said processor is configured to identify occurrence of a group of words appearing together indicative of a specific concept in said at least one official sector action activity;

associate said official sector action non-quantitative text-based data with said at least one tag to obtain tagged official sector action non-quantitative data in a computer database,

extract quantitative data of at least one official sector action activity of the at least one official action cross-border public policy data from said tagged official sector action non-quantitative data,

wherein said extract said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data comprising said at least one computer process configured to

electronically identify a recognized correlation or covariance among a plurality of said actions of the at least one cross-border public policy data;

receive electronically said at least one tag or code, and said at least one concept;

weight electronically said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on;

 

said at least one tag or code, and said at least one concept;

 

a proximity of said at least one official sector action activity to a decision point; and

 

a relative importance of an activity level of said at least one official sector action activity; and

anticipate at least one policy trajectory of the at least one official sector cross-border public policy data of said at least one official sector cross-border public policy based on;

said at least one tag or code, and said at least one concept;

said identifying electronically of said correlations or covariances, and

said weighting electronically based on;

said proximity to the deadline, and

said relative importance of said activity level; and

generate at least one graphical representation of said quantitative data and the anticipated at least one trajectory of the at least one official sector cross-border public policy data of said at least one official sector cross-border public policy; and

provide the at least one quantitative anticipatory risk management tool comprising said at least one computer processor being configured to at least one of;

provide said at least one graphical representation of said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data of said at least one official sector cross-border public policy;

provide graphical or numerical official sector action activity-based search results sorted by at least one of;

activity type, institution type, or concept type;

or

provide access to at least one underlying document upon request.

30. A nontransitory computer program product embodied on at least one nontransitory computer readable medium comprising program logic, which when executed on at least one processor, performs a method for translating official sector action non-quantitative text-based data into at least one quantitative risk management tool that electronically anticipates at least one trajectory of at least one official sector cross-border public policy data comprising:

receiving, by at least one computer processor, said official sector action non-quantitative text-based data relating to the at least one official sector cross-border public policy data;

receiving, by the at least one computer processor, at least one tag or code relating to said official sector action non-quantitative text-based data, comprising;

tagging at least one concept electronically, by the at least one computer processor, of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on;

identifying electronically, by the at least one computer processor, occurrence of a group of words appearing together indicative of a specific concept in said at least one official sector action activity;

associating, by the at least one computer processor, said official sector action non-quantitative text-based data with said at least one tag or code, and storing in an electronic computer database;

extracting in response to queries, by the at least one computer processor, quantitative data of at least one official sector action activity level of the at least one official sector cross-border public policy data from tagged official sector action non-quantitative data,

wherein said extracting said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data comprises;

identifying, by the at least one computer processor, a correlation or covariance among a plurality of said at least one official sector action activity of the at least one official sector cross-border public policy data;

receiving electronically, by the at least one computer processor, said at least one tag or code, and said at least one concept;

weighting electronically, by the at least one computer processor, said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on;

said at least one tag or code, and said at least one concept;

a proximity of said at least one official sector action activity to a decision point; and

a relative importance of an activity level of said at least one official sector action activity; and

anticipating, by the at least one computer processor, the at least one trajectory of the at least one official sector cross-border public policy data of said at least one official sector cross-border public policy based on;

said at least one tag or code, and said at least one concept;

said identifying electronically of said correlations or covariances, and

said weighting electronically based on;

said proximity to the deadline, and

said relative importance of said activity level; and

generating, by the at least one computer processor, at least one graphical representation of said quantitative data and the anticipated at least one trajectory of the at least one official sector cross-border public policy data;

providing, by the at least one computer processor, the at least one quantitative risk management tool; and

providing to users, by the at least one computer processor, access to said official sector action non-quantitative text-based data comprising at least one textual document.

31. A method comprising:

a computer implemented method of providing quantitative risk management information comprising;

receiving, by at least one computer processor, a query regarding official sector action non-quantitative text-based data;

searching, by the at least one computer processor, an electronic database based on said query,

wherein said electronic database comprises;

extracted or assigned numerical data of, at least one official sector action activity level of at least one predetermined issue of interest comprising at least one of an observation, or an occurrence, said extracted numerical data, which quantifies at least one official sector cross-border public policy process by said at least one official sector action activity level,

wherein said extracted numerical data, of said quantitative data of said official sector action activity of said at least one official sector cross-border public policy data form said official sector action non-quantitative text-based data comprises;

assigning a quantitative value or a numerical value regarding official sector action activity levels for at least one of an observation, or an occurrence, comprising;

receiving electronically, by the at least one computer processor, at least one tag or code relating to said official sector action non-quantitative text-based data, comprising;

tagging at least one concept electronically, by the at least one computer processor, of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on;

identifying electronically, by the at least one computer processor, occurrence of a group of words appearing together indicative of a specific concept in said at least one official sector action activity;

associating electronically, by the at least one computer processor, said official sector action non-quantitative text-based data with said at least one tag or code, and storing in an electronic computer database;

aggregating said official sector action activity level over a time period;

weighting said official sector action activity level based on an activity type; and

providing analytics regarding said extracted, aggregated, and weighted activity data in order to anticipate future likely policy trajectories;

aggregated numerical data of said at least one official sector action activity level over a time period;

anticipated correlation or covariances among a plurality of said at least one official sector action activity level for said at least one official sector cross-border public policy process;

receiving electronically, by the at least one computer processor, said at least one tag or code, and said at least one concept;

weighting electronically, by the at least one computer processor, said quantitative data of said at least one official sector action activity of the at least one official sector cross-border public policy data, based on;

said at least one tag or code, and said at least one concept;

a proximity of said at least one official sector action activity to a decision point; and

a relative importance of an activity level of said at least one official sector action activity; and

at least one anticipated policy trajectory of said at least one predetermined issue of interest determined based on;

said extracted and aggregated numerical data;

said identified correlation or covariances;

said at least one tag or code, and said at least one concept;

said identifying electronically of said correlations or covariances, and

said weighting electronically based on;

said proximity to the deadline, and

said relative importance of said activity level; and

providing, by the at least one computer processor, at least one search result of official sector action non-quantitative text-based data by making accessible via at least one interactive electronic graphical display interface comprising at least one quantified forward-looking policy trajectory projection of said at least one pre-determined issue of interest with access to underlying official sector action non-quantitative text-based data.