Systems, methods, apparatus, and schema for storing, managing and retrieving information

• US 20060004814A1
• Filed: 09/15/2004
• Published: 01/05/2006
• Est. Priority Date: 07/02/2004
• Status: Active Grant

• Current Assignee: Regulatory DataCorp, Inc. (Moody's Corporation)
• Original Assignee: Regulatory DataCorp, Inc. (Moody's Corporation)
• Inventors: MacDonald, Alasdair, Lawrence, David, Nitze, Peter
• Granted Patent: US 8,762,191 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: H04L 63/1416 Event detection, e.g. attack signature detection

Abstract

Some embodiments include a system, method, apparatus and schema for managing and retrieving information associated with risk.

Claims

1. A method, comprising:

receiving information associated with at least one risk, the information including a plurality of tags;

parsing the information into a plurality of portions based at least in part on the plurality of tags; and

storing the information in a data storage structure, wherein the data storage structure includes a plurality of areas that are interrelated to facilitate the identification of the at least one risk.

2. The method of claim 1, wherein the each of the plurality of portions is associated with at least one of the plurality of tags.

3. The method of claim 2, wherein each of the plurality of portions is stored in at least one of the plurality of areas.

4. The method of claim 1, wherein the information is received from a device that determines a relevancy of the information.

5. The method of claim 1, wherein the information is received from a device that determines a redundancy of the information.

6. The method of claim 1, wherein the information is received from a device that collects the information from a plurality of sources.

7. The method of claim 1, wherein the information is received from a device that causes insertion of the information into the data storage structure.

8. The method of claim 1, wherein the plurality of areas include:

an area for storing information associated with an individual;

an area for storing information associated with an event;

an area for storing information associated with an item; and

an area for storing information associated with an organization.

9. The method of claim 8, wherein the plurality of areas further include:

an area for storing information associated with an address.

10. The method of claim 8, wherein the individual includes an individual that is a party involved in a transaction.

11. The method of claim 10, wherein the transaction includes a financial transaction.

12. The method of claim 8, wherein the event includes at least one event associated with the at least one risk.

13. The method of claim 1, wherein the data storage structure further includes:

at least one unique key that defines an association between at least one of (i) an individual and an event, (ii) an individual and an item, (iii) an individual and an organization, (iv) an event and an item, (v) an event and an organization (vi) an item and an organization, (vii) a first individual and a second individual, (viii) a first event and a second event, (ix) a first item and a second item, and (x) a first organization and a second organization.

14. The method of claim 1, wherein the data storage structure further includes:

at least one unique key that defines an association between at least one of (i) an event and an address, (iii) an item and an address, and (v) a first address and a second address.

15. The method of claim 1, wherein the data storage structure further includes:

at least one unique key that defines an association between at least one of (i) an individual and an address, and (iv) an organization and an address, wherein the address is related to the at least one risk.

16. The method of claim 1, wherein the at least one risk includes at least one of a financial risk, a risk to reputation, a regulatory risk, or a legal risk.

17. A memory for storing data for access by an application program being executed on a data processing system, comprising:

a data structure stored in the memory, the data structure including information resident in a database used by the application program and including;

a first data object associated with attributes related to at least one individual, the at least one individual being identified by a first unique key;

a second data object associated with attributes related to at least one event, the at least one event being identified by a second unique key; and

a first association between the first unique key and the second unique key, the first association linking the first data object and the second data object such that a query associated with the at least one individual results in the identification of the first association.

18. The memory of claim 17, wherein the data structure further includes:

a third data object associated with attributes related to at least one item, the at least one item being identified by a third unique key; and

a second association between the third unique key and at least one of the first unique key and the second unique key, the second association linking the third data object and at least one of the first data object and the second data object such that a query associated with the at least one of the at least one individual and the at least one event results in the identification of the second association.

19. The memory of claim 18, wherein the data structure further includes:

a fourth data object associated with attributes related to at least one organization, the at least one organization being identified by a fourth unique key; and

a third association between the fourth unique key and at least one of the first unique key, the second unique key, and the third unique key, the third association linking the fourth data object and at least one of the first data object, the second data object, and the third data object such that a query associated with the at least one of the at least one individual, the at least one event, and the at least one item results in the identification of the third association.

20. A data processing system executing an application program and containing a database used by said application program, said data processing system comprising:

processing means for processing said application program; and

memory means for holding a data structure for access by said application program, said data structure being composed of information resident in said database used by said application program and including;

a first data object associated with attributes related to at least one individual, the at least one individual being identified by a first unique key;

a second data object associated with attributes related to at least one item, the at least one event being identified by a second unique key; and

a first association between the first unique key and the second unique key, the first association linking the first data object and the second data object such that a query associated with the at least one individual results in the identification of the first association.

21. A computer system comprising:

a processor;

computer readable medium coupled to the processor; and

computer code, encoded in the computer readable medium, configured to cause the processor to identify risk by virtue of causing the processor to;

store data associated with an individual in a data structure, wherein the data structure is arranged in a data structure format, the data structure format being defined by a first data object associated with the individual and a plurality of other data objects associated with risk, and the data structure occupying a memory space; and

associate the first data object with at least one of the plurality of other data objects, based at least in part on information associated with an item.

22. The system of claim 21, wherein the item includes at least one of (i) an article, (ii) a news broadcast, (iii) a website, (iv) a commercial information source, and (v) a governmental information source.

23. A risk identification data structure in a computer readable medium for identifying risk information, comprising:

a plurality of risk identification tables configured to store information associated with risk, each of the risk identification tables including;

an index field corresponding to a key risk segment;

at least one attribute field associated with an attribute of the key risk segment; and

at least one association field representing at least one relationship between the key risk segment and another key risk segment.

24. The data structure of claim 23, wherein the plurality of risk identification tables includes:

a table to store attributes associated with an individual;

a table to store attributes associated with an event;

a table to store attributes associated with an item; and

a table to store attributes associated with an organization.