RULE ASSIGNMENTS AND TEMPLATING

• US 20140180970A1
• Filed: 12/13/2013
• Published: 06/26/2014
• Est. Priority Date: 12/21/2012
• Status: Active Grant

• Current Assignee: Model N, Inc.
• Original Assignee: Model N, Inc.
• Inventors: Hettenkofer, Manfred, des Roziers, Eric Burin, Soni, Ketan
• Granted Patent: US 9,466,026 B2
• Time in Patent Office: Days
• US Class Current: 706/11
• CPC Class Codes: G06N 5/025 Extracting rules from data

Abstract

Various implementations for assigning rules and creating rules using templates are described herein. In one example implementation, a model is determined, one or more components of the model are determined, a rule from a set of one or more predefined rules is determined, and the rule is assigned to the model. The rule has one or more parameters matching the one or more components of the model.

Claims

1. A computer-implemented method comprising:

determining a model;

determining one or more components of the model;

determining a rule from a set of one or more predefined rules, the rule having one or more parameters matching the one or more components of the model; and

assigning the rule to the model.

2. The computer-implemented method of claim 1, wherein determining the rule from the set of one or more predefined rules includes:

matching the one or more components of the model to one or more attributes, option groups, and products; and

determining the rule based on the matching.

3. The computer-implemented method of claim 2, wherein the rule includes the one or more attributes, option groups, and products, and the one or more attributes, option groups, and products correspond to the one or more components of the model.

4. The computer-implemented method of claim 2, further comprising:

overriding the rule that is assigned to the model by assigning the rule differently to the model or assigning another rule to the model.

5. The computer-implemented method of claim 4, further comprising:

providing a rule definition interface including the assignment of the rule to the model for presentation to a user; and

receiving an input from the user to override the assignment of the rule.

6. The computer-implemented method of claim 1, wherein determining the rule from the set of one or more predefined rules includes automatically determining the rule based on a common attribute between the rule and the model.

7. The computer-implemented method of claim 6, wherein the common attribute includes an option group, attribute, or product, and the model and the rule each includes the option group, attribute, or product.

8. The computer-implemented method of claim 1, further comprising:

determining an option group associated with the model;

determining that the option group includes a product; and

determining that the rule is dependent on the product, wherein the rule is assigned to the model based on the rule being dependent on the product.

9. The computer-implemented method of claim 1, further comprising:

determining an option group associated with the model;

determining that the option group is associated with an attribute; and

determining that the rule is dependent on the attribute, wherein the rule is assigned to the model based on the rule being dependent on the attribute.

10. The computer-implemented method of claim 1, further comprising:

determining an option group associated with the model is user-defined;

determining an attribute tied to an option of the option group; and

determining a rule is dependent on the attribute tied to the option of the option group, wherein the rule is assigned to the model based on the rule being dependent on the attribute.

11. A computer-implemented method, comprising:

receiving an input from a first user to create a rule template for a rule;

providing a table-based rule definition interface for presentation to the first user;

receiving an input defining a first set of one or more columns of a table as a rule condition for the rule;

receiving an input defining a second set of one or more columns of the table as a rule action for the rule;

storing the table including the first set of one or more columns and the second set of one or more columns as the rule template in a data store;

providing the table-based rule definition interface including the rule template to a second user;

receiving an input from the second user defining a row for the table reflecting an expression of the rule; and

updating the table with the row.

12. The computer-implemented method of claim 11, wherein the one or more columns representing the rule condition and the one or more columns representing the rule action each include one of a category, an option group, an attribute type, and a quantity and the expression of the rule input by the second user includes a value for each of the one or more columns representing the rule condition and for each of the one or more columns representing the rule action.

13. A system comprising:

one or more processors; and

a modeling engine, executable by the one or more processors, to determine a model, determine one or more components of the model, determine a rule from a set of one or more predefined rules, and assign the rule to the model, wherein the rule has one or more parameters matching the one or more components of the model.

14. The system of claim 13, wherein the modeling engine is further executable to:

match the one or more components of the model to one or more attributes, option groups, and products; and

determine the rule based on the matching.

15. The system of claim 14, wherein the rule includes the one or more attributes, option groups, and products, and the one or more attributes, option groups, and products correspond to the one or more components of the model.

16. The system of claim 14, wherein the modeling engine is further executable to:

override the rule that is assigned to the model by assigning the rule differently to the model or assigning another rule to the model.

17. The system of claim 16, wherein the modeling engine is further executable to:

provide a rule definition interface including the assignment of the rule to the model for presentation to a user; and

receive an input from the user to override the assignment of the rule.

18. The system of claim 13, wherein to determine the rule from the set of one or more predefined rules includes automatically determining the rule based on a common attribute between the rule and the model.

19. The system of claim 18, wherein the common attribute includes an option group, attribute, or product, and the model and the rule each includes the option group, attribute, or product.

20. The system of claim 13, wherein the modeling engine is further executable to:

determine an option group associated with the model;

determine that the option group includes a product; and

determine that the rule is dependent on the product, wherein the rule is assignment to the model based on the rule begin dependent on the product.

21. The system of claim 13, wherein the modeling engine is further executable to:

determine an option group associated with the model;

determine that the option group is associated with an attribute; and

determine that the rule is dependent on the attribute, wherein the rule is assigned to the model based on the rule being dependent on the attribute.

22. The system of claim 13, wherein the modeling engine is further executable to:

determine an option group associated with the model is user defined;

determine an attribute tied to an option of the option group; and

determine a rule that is dependent on the attribute tied to the option of the option group, wherein the rule is assigned to the model based on the rule being dependent on the attribute.

23. A system comprising:

one or more processors; and

a modeling engine, executable by the one or more processors, to;

receive an input from a first user to create a rule template for a rule;

provide a table-based rule definition interface for presentation to the first user;

receive an input defining a first set of one or more columns of a table as a rule condition for the rule;

receive an input defining a second set of one or more columns of the table as a rule action for the rule;

store the table including the first set of one or more columns and the second set of one or more columns as the rule template in a data store;

provide the table-based rule definition interface including the rule template to a second user;

receive an input from the second user defining a row for the table reflecting an expression of the rule; and

update the table with the row.

24. The system of claim 23, wherein the one or more columns representing the rule condition and the one or more columns representing the rule action each include one of a category, an option group, an attribute type, and a quantity and the expression of the rule input by the second user includes a value for each of the one or more columns representing the rule condition and for each of the one or more columns representing the rule action.