Metadata Database System and Method

• US 20130054560A1
• Filed: 10/16/2012
• Published: 02/28/2013
• Est. Priority Date: 11/17/2010
• Status: Abandoned Application

• Current Assignee: Projectioneering LLC
• Original Assignee: Projectioneering LLC
• Inventors: Hnatio, John H.
• Application Number:
  US13/653,189
• Publication Number:
  US 20130054560A1
• Time in Patent Office: Days
• US Class Current: 707/709
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Abstract

Systems, methods and computer readable media for computerized control and management of a metadata database. The metadata database can include event data, standards, survey questions and response, and event response templates. Event projection can be based on data retrieved from a past events database. Control can include real-time control of subsystems within the complex system and providing reports and visualizations. The visualizations can include profile graphs, bar graphs, dashboards and hyperbolic mapping.

Claims

1. A computer-based system for managing a metadata database, the computer-based system comprising:

a processor coupled to a data storage device; and

an interface adapted to exchange data with another device,

the data storage device having stored thereon a metadata database having event data, a standards library, survey questions, survey answers, a survey scoring system and event response templates,

the data storage device also having software instructions stored thereon that, when executed by the processor, cause the processor to perform operations including;

automatically acquiring event data from a plurality of event data sources accessed via the interface;

storing the acquired event data in the metadata database;

automatically acquiring standards data from a plurality of standards data sources accessed via the interface;

storing the acquired standards data in the metadata database;

automatically acquiring survey response data and scoring the survey response data according to a scoring system retrieved from the metadata database in order to generate a survey score;

storing the acquired survey response data and the survey score in the metadata database;

updating risk values retrieved from the metadata database according to the acquired survey response data, and storing the updated risk values in the metadata database; and

providing a risk assessment output based on the updated risk values retrieved from the metadata database.

2. The computer-based system of claim 1, wherein the operations further include assigning a confidence score to the acquired event data, the confidence score being based on a source of the acquired data.

3. The computer-based system of claim 1, wherein the automatically acquiring event data and standards data includes using a crawler to access one or more websites over the Internet.

4. The computer-based system of claim 1, wherein the metadata database is configured as a flat-file database.

5. The computer-based system of claim 4, wherein the flat-file database is configured to have records with a variable number of fields, each field of variable length.

6. The computer-based system of claim 1, wherein the operations further include calculating, using the processor, a risk value based on the event data and scored survey response data.

7. A computerized method for metadata database management, the method comprising:

acquiring, at a processor, event data from a plurality of event data sources accessed via an interface configured to connect the processor to an external system;

storing the acquired event data in a metadata database coupled to the processor;

acquiring, at the processor, standards data from a plurality of standards data sources accessed via the interface;

storing the acquired standards data in the metadata database;

acquiring, at the processor, survey response data and scoring the survey response data according to a scoring system retrieved from the metadata database in order to generate a survey score;

storing the acquired survey response data and the survey score in the metadata database;

updating risk values retrieved from the metadata database according to the acquired survey response data, and storing the updated risk values in the metadata database; and

providing a risk assessment output based on the updated risk values retrieved from the metadata database.

8. The method of claim 7, further comprising assigning a confidence score to the acquired event data, the confidence score being based on a source of the acquired data.

9. The method of claim 7, wherein the automatically acquiring event data and standards data includes using a crawler to access one or more websites over the Internet.

10. The method of claim 7, wherein the metadata database is configured as a flat-file database.

11. The method of claim 10, wherein the flat-file database is configured to have records with a variable number of fields, each field configured to store data of a variable length.

12. The method of claim 7, further comprising calculating, using the processor, a risk value based on the event data and scored survey response data.

13. A computerized control system for continuous control of a learning metadata database, the computerized control system comprising:

a processor having an information processing unit and a computer readable medium;

a metadata database coupled to the processor, the metadata database being adapted to store event risk assessment, projection and control information;

an interface coupled to the processor and adapted to connect the processor to a computer network,

the computer readable medium storing instructions that, when executed by the processor, cause the processor to perform operations including;

acquiring event data from a plurality of event data sources accessed via the interface;

storing the acquired event data in the metadata database;

acquiring standards data from a plurality of standards data sources accessed via the interface;

storing the acquired standards data in the metadata database;

acquiring survey response data and scoring the survey response data according to a scoring system retrieved from the metadata database in order to generate a survey score;

storing the acquired survey response data and the survey score in the metadata database;

updating risk values retrieved from the metadata database according to the acquired survey response data, and storing the updated risk values in the metadata database; and

providing a risk assessment output based on the updated risk values retrieved from the metadata database.

14. The control system of claim 13, wherein the operations further include assigning a confidence score to the acquired event data, the confidence score being based on a source of the acquired data.

15. The control system of claim 13, wherein the automatically acquiring event data and standards data includes using a crawler to access one or more websites over the Internet.

16. The control system of claim 13, wherein the metadata database is configured as a flat-file database.

17. The control system of claim 16, wherein the flat-file database is configured to have records with a variable number of fields, each field of variable length.

18. The control system of claim 13, wherein the operations further include calculating, using the processor, a risk value based on the event data and scored survey response data.