Techniques for analyzing data from multiple sources

• US 10,169,763 B2
• Filed: 01/16/2015
• Issued: 01/01/2019
• Est. Priority Date: 07/29/2010
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: B'Far, Reza, Sinha, Siddharth, Golden, Ryan, Srinivasan, Uppili, Waxman, Alan, Adourian, Mike, Jacobs, Nigel
• Primary Examiner(s): Alam, Hosain T
• Assistant Examiner(s): Ahmed, Saba
• Application Number:
  US14/599,194
• Publication Number:
  US 20150134551A1
• Time in Patent Office: 1,446 Days
• Field of Search: 707737
• CPC Class Codes: G06F 16/211 Schema design and management
• CPC Class Codes: G06F 16/24564 Applying rules; Deductive queries
• CPC Class Codes: G06Q 30/018 Certifying business or products
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

Techniques, including systems are methods, for analyzing data from multiple sources are disclosed and suggested herein. In an embodiment, information from one or more information sources is received. The received information is stored in one or more data stores that collectively implement one or more ontologies. One or more conditions are applied to the information in the one or more data stores to determine a conclusion.

Claims

1. A computer-implemented method of detecting violations of policies of an organization, comprising:

receiving, by a computer system, information from one or more information sources;

specifying one or more parameters for identifying the information;

updating, by the computer system, an ontology model based at least in part on the information, the ontology model defining an association between the information and a data element in a database schema;

applying one or more conditions, based at least in part on the ontology model, to detect at least one policy violation;

identifying, based at least in part on the ontology model, one or more information sources associated with the policy violation; and

providing an identification of the one or more information sources associated with the policy violation.

2. A computer-implemented method of claim 1, further comprising:

measuring a rate of receipt of the received information, the rate of receipt indicative of a particular amount of the information being received from the one or more information sources;

when the rate deviates from a range of acceptable values, adjusting at least one of the one or more parameters to modify the rate of the received information; and

receiving the information according to the modified rate.

3. The computer-implemented method of claim 1, wherein receiving the information further comprises:

receiving first external information from a first external information source, the first external information comprising first sub-elements;

receiving second external information from a second external information source, the second external information comprising second sub-elements; and

mapping the first sub-elements and the second sub-elements to the element in the database schema.

4. The computer-implemented method of claim 3, wherein receiving the information further comprises receiving internal information from one or more internal information sources.

5. The computer-implemented method of claim 4, wherein applying the one or more conditions based at least in part on the ontology model further comprises performing a statistical analysis on the external information and the internal information to determine one or more statistical measurements relating at least a portion of the external information to at least a portion of the internal information, and wherein the one or more conditions are determined based at least in part on the one or more statistical measurements.

6. The computer-implemented method of claim 5, wherein the one or more statistical measurements include a particular statistical measurement that relates one or more transactions of the organization with one or more activities of a vendor of the organization.

7. The computer-implemented method of claim 1, wherein the one or more information sources includes a website configured to offer, for consumption, an item purporting to be from the organization.

8. A non-transitory computer-readable storage medium having stored thereon instructions for causing at least one computer system to detect policy violations for an organization, the instructions comprising:

instructions that cause the at least one computer system to receive information from one or more information sources;

instructions that cause the at least one computer system to specify one or more parameters for identifying the information;

instructions that cause the at least one computer system to update an ontology model based at least in part on the information, the ontology model defining an association between the information and a data element in a database schema;

instructions that cause the at least one computer system to apply one or more conditions, based at least in part on the ontology model, to detect at least one policy violation;

instructions that cause the at least one computer system to identify, based at least in part on the ontology model, one or more information sources associated with the policy violation; and

instructions that cause the at least one computer system to provide an identification of the one or more information sources associated with the policy violation.

9. The computer-readable storage medium of claim 8, further comprising instructions that cause the at least one computer system to:

measure a rate of receipt of the received information, the rate of receipt indicative of a particular amount of the information being received from the one or more information sources;

adjust at least one of the one or more parameters to modify the rate of the received information when the rate deviates from a range of acceptable values; and

receive the information according to the modified rate.

10. The computer-readable storage medium of claim 8, wherein the instructions that cause the at least one computer system to receive the information further comprise instructions that cause the at least one computer system to receive external information and internal information from the one or more information sources.

11. The computer-readable storage medium of claim 10, further comprising instructions that cause the at least one computer system to map the external information and the internal information to the data element in the database schema.

12. The computer-readable storage medium of claim 10, wherein the instructions further comprise instructions to perform a statistical analysis based at least in part on ontology model to determine one or more statistical measurements relating at least a portion of the external information and to at least a portion of the internal information, and wherein the one or more conditions are determined based at least in part on the one or more statistical measurements.

13. The computer-readable storage medium of claim 12, wherein the one or more statistical measurements include a particular statistical measurement that relates one or more transactions of the organization with one or more activities of a vendor of the organization.

14. The computer-readable storage medium of claim 8, wherein the one or more information sources include a website configured to offer, for consumption, an item purporting to be from the organization.

15. A system for detecting policy violations for an organization, comprising:

one or more processors; and

a memory coupled with the one or more processors, the memory configured to store instructions that when executed by the one or more processors cause the one or more processors to;

receive information from one or more information sources;

specify one or more parameters for identifying the information;

update an ontology model based at least in part on the information, the ontology model defining an association between the information and one or more data elements in a database schema;

apply one or more conditions, based at least in part on the ontology model, to detect at least one policy violation;

identify, based at least in part on the ontology model, one or more information sources associated with the policy violation; and

provide an identification of the one or more information sources associated with the policy violation.

16. The system of claim 15, wherein the ontology model is based at least in part on a plurality of user-defined semantic objects and a plurality of user-defined relationships among the semantic objects.

17. The system of claim 15, wherein the one or more information sources includes a website configured to offer, for consumption, an item purporting to be from the organization.

18. The system of claim 15, wherein the instructions that when executed by the one or more processors further cause the one or more processors to:

apply the one or more conditions based at least in part on the ontology model by performing a statistical analysis on a portion of the information to determine one or more statistical measurements, wherein the one or more conditions are based at least in part on the one or more statistical measurements.

19. The system of claim 18, wherein the one or more statistical measurements include a particular statistical measurement that relates one or more transactions of the organization with one or more activities of a vendor of the organization.

20. The system of claim 15, wherein the instructions that when executed by the one or more processors further cause the one or more processors to:

measure a rate of receipt of the received information, the rate of receipt indicative of a particular amount of the information being received from the one or more information sources;

adjust at least one of the one or more parameters to modify the rate of the received information when the rate deviates from a range of acceptable values; and

cause one or more communications devices to receive the information according to the modified rate.