Generic ontology based semantic business policy engine

Patent metadata

Field	Value
Publication number	US-9449034-B2
Application number	US-201314107991-A
Country	US
Kind code	B2
Filing date	Dec 16, 2013
Priority date	Jan 7, 2009
Publication date	Sep 20, 2016
Grant date	Sep 20, 2016

Abstract

Techniques for implementing policies. In an embodiment, first data is stored in a first data store according to a first schema. A second schema is defined based at least in part on a policy and an ontology. Second data, which includes at least a portion of the first data, is stored in a second data store according to the second schema. Storing the second data is based at least in part on a mapping of the first schema to the second schema. At least a portion of the second data is analyzed and results of the analysis are provided to a user.

First claim

What is claimed is:

1. A computer-implemented method of implementing policies, comprising:
identifying, by a computer system, first data, the first data being stored in a first data store according to a first schema;
identifying at least a subset of the first data in the first data store as being relevant to one or more policies defined by an organization;
populating a second data store with second data based at least in part on the subset of the first data in the first data store;
defining, based at least in part on the one or more policies, a second schema for analyzing the second data stored in the second data store;
analyzing the second data in the second data store in accordance with the one or more policies to detect a policy violation, the analyzing comprising:
analyzing the second data in the second data store in accordance with a first policy of the one or more policies when the second schema is defined in accordance with a first schema type; and
analyzing the second data in the second data store in accordance with a second policy of the one or more policies when the second schema is defined in accordance with a second schema type;

determining a conclusion from at least a portion of the second data based at least in part on the analyzing; and
providing the conclusion to a user.

2. A computer-implemented method of claim 1 , wherein defining the second schema further comprises:
identifying at least the subset of the first data from the first data store to be stored in the second data store; and
mapping the subset of the first data to the second schema in the second data store.

3. The computer-implemented method of claim 2 , wherein the subset of the first data from the first data store identifies a type of policy analysis to be performed on the second data in the second data store.

4. The computer-implemented method of claim 1 , wherein the second schema is defined based at least in part on an ontology relating to the second data in the second data store.

5. The computer-implemented method of claim 1 , wherein the first data in the first data store stores policy information related to an organization.

6. The computer-implemented method of claim 5 , wherein the policy information includes at least one of a plurality of pre-defined policies related to the organization or a plurality of policies specified by the user.

7. The computer-implemented method of claim 1 , wherein the first policy comprises at least one of an authorization policy, a prevention policy, a configuration policy and a transaction policy related to the organization and the second policy comprises at least one of an authorization policy, a prevention policy, a configuration policy and a transaction policy related to the organization.

8. The computer-implemented method of claim 1 , wherein, when the second schema is defined in accordance with the first schema type, a plurality of tables of the second schema are defined to have a first degree of normalization and, when the second schema is defined in accordance with the second schema type, a plurality of tables of the second schema are defined to have a second degree of normalization.

9. A system for storing data, comprising:
one or more processors; and
memory including executable instructions that, when executed by the one or more processors, cause the one or more processors to collectively at least:
identify, by a computer system, first data, the first data being stored in a first data store according to a first schema;
identify at least a subset of the first data in the first data store as being relevant to one or more policies defined by an organization;
populate a second data store with second data based at least in part on the subset of the first data in the first data store;
define, based at least in part on the one or more policies, a second schema for analyzing the second data stored in the second data store;
analyze the second data in the second data store in accordance with the one or more policies to detect a policy violation, the instructions to analyze comprising instructions to:
analyze the second data in the second data store in accordance with a first policy of the one or more policies when the second schema is defined in accordance with a first schema type; and
analyze the second data in the second data store in accordance with a second policy of the one or more policies when the second schema is defined in accordance with a second schema type;

determine a conclusion from at least a portion of the second data based at least in part on the analyzing; and
provide the conclusion to a user.

10. The system of claim 9 , wherein the instructions to define the second schema further comprise instructions to:
identify at least the subset of the first data from the first data store to be stored in the second data store; and
map the subset of the first data to the second schema in the second data store.

11. The system of claim 10 , wherein the subset of the first data from the first data store identifies a type of policy analysis to be performed on the second data in the second data store.

12. The system of claim 9 , wherein the second schema is defined based at least in part on an ontology relating to the second data in the second data store.

13. The system of claim 9 , wherein the first data in the first data store stores policy information related to an organization.

14. The system of claim 13 , wherein the policy information includes at least one of a plurality of pre-defined policies related to the organization or a plurality of policies specified by the user.

15. A computer-readable storage medium, having stored thereon instructions for causing a processor to store and analyze data, the instructions including:
instructions that cause the processor to identify first data, the first data being stored in a first data store according to a first schema;
instructions that cause the processor to identify at least a subset of the first data in the first data store as being relevant to one or more policies defined by an organization;
populating a second data store with second data based at least in part on the subset of the first data in the first data store;
instructions that cause the processor to define, based at least in part on the one or more policies, a second schema for analyzing the second data stored in the second data store;
instructions that cause the processor to analyze the second data in the second data store in accordance with one or more policies to detect a policy violation, the instructions to analyze comprising instructions to:
analyze the second data in the second data store in accordance with a first policy of the one or more policies when the second schema is defined in accordance with a first schema type; and
analyze the second data in the second data store in accordance with a second policy of the one or more policies when the second schema is defined in accordance with a second schema type;

instructions that cause the processor to determine a conclusion from at least a portion of the second data based at least in part on the instructions to analyze; and
instructions that cause the processor to provide the conclusion to a user.

16. The computer-readable storage medium of claim 15 , wherein the executable instructions to define the second schema further comprise instructions to:
identify at least the subset of the first data from the first data store to be stored in the second data store; and
map the subset of the first data to the second schema in the second data store.

17. The com

Assignees

• Oracle Int Corp

Inventors

• B'Far Reza
• Golden Ryan
• Cengiz Yasin
• Tseng Tsai-Ming
• Srinivasan Uppili R
• Chitullapally Sreedhar
• Waxman Alan

Classifications

• G06F17/30507

  Physics · mapped topic

• G06F17/30292 Primary

  Physics · mapped topic

• G06F17/3056

  Physics · mapped topic

• G06Q10/10 Primary

  Office automation; Time management · CPC title

• G06F16/211 Primary

  Schema design and management · CPC title