Case-based reasoning as a cloud service
The disclosure generally describes methods, software, and systems for providing solution descriptions. A problem description of a problem is received, from a client, at a cloud-based reasoning service. A solution description for a solution to the problem is received. Case metadata for a case defining the problem and solution are generated by the cloud-based reasoning service. The case metadata, including the problem description and solution description, are stored by the cloud-based reasoning service in a cases repository associating solutions with problems. A new problem is received at the cloud-based reasoning service. An automated analysis of the new problem is performed, and a comparison is made of the new problem with existing solutions in the cases repository to identify solutions matching the new problem. A new solution description is provided that is based on a match between the new problem description and the problem description and using the problem solution.
1. A computer-implemented method comprising:
receiving, at a case-based reasoning service and from a client, a problem description of a problem;
receiving, at the case-based reasoning service and from the client, a solution description for a solution to the problem;
generating, by the case-based reasoning service, case metadata for a case that defines the problem and the solution;
storing, by the case-based reasoning service, the problem description, the solution description, and the case metadata in a cases repository associating solutions with problems;
receiving, at the case-based reasoning service and from the client, a new problem;
performing an automated analysis of the new problem and comparison of the new problem with existing solutions in the cases repository to identify solutions matching the new problem;
providing, by the case-based reasoning service and to the client, a new solution description based on a match between the new problem description and the problem description and using the problem solution;
receiving, at the case-based reasoning service and from the client, feedback associated with the new solution description;
updating, by the case-based reasoning service and using the feedback, statistics about that new solution description;
determining, by the case-based reasoning service and using the feedback, that the new solution description has not been selected;
identifying, by the case-based reasoning service and using the feedback, an expert to contact or another solution avenue; and
providing, by the case-based reasoning service and to the client, information identifying the expert to contact or the other solution avenue.
2. The computer-implemented method of claim 1 , wherein the problem description includes one or more of a vector of problem attributes and problem text, and wherein the solution description includes one or more of a vector of solution attributes and solution text.
3. The computer-implemented method of claim 2 , wherein providing the new solution description includes identifying, from the cases repository, at least one solution associated with at least one problem having a problem description matching a new problem description of the new problem.
4. The computer-implemented method of claim 1 , wherein the case metadata includes case owner information, case creation and modification dates, and relationships to other cases.
5. The computer-implemented method of claim 1 , wherein the problem description, the solution description, the new problem description, and the new solution description are sent through an application programming interface (API) used by a client accessing the case-based reasoning service through the cloud.
6. The computer-implemented method of claim 1 , further comprising:
receiving, at the case-based reasoning service and from the client, updates to the solution description for the case; and
updating, by the case-based reasoning service, the solution description for the case in the cases repository.
7. The computer-implemented method of claim 1 , further comprising:
receiving, at the case-based reasoning service and from the client, a share authorization for the case; and
updating, by the case-based reasoning service, the cases repository to make the case accessible by other clients.
8. A system comprising:
memory storing tables storing cases associating problems and solutions, and metadata identifying the use of the cases over time; and
a server performing operations comprising:
receiving, at a case-based reasoning service and from a client, a problem description of a problem;
receiving, at the case-based reasoning service and from the client, a solution description for a solution to the problem;
generating, by the case-based reasoning service, case metadata for a case that defines the problem and the solution;
storing, by the case-based reasoning service, the problem description, the solution description, and the case metadata in a cases repository associating solutions with problems;
receiving, at the case-based reasoning service and from the client, a new problem;
performing an automated analysis of the new problem and comparison of the new problem with existing solutions in the cases repository to identify solutions matching the new problem;
providing, by the case-based reasoning service and to the client, a new solution description based on a match between the new problem description and the problem description and using the problem solution;
receiving, at the case-based reasoning service and from the client, feedback associated with the new solution description;
updating, by the case-based reasoning service and using the feedback, statistics about that new solution description;
determining, by the case-based reasoning service and using the feedback, that the new solution description has not been selected;
identifying, by the case-based reasoning service and using the feedback, an expert to contact or another solution avenue; and
providing, by the case-based reasoning service and to the client, information identifying the expert to contact or the other solution avenue.
9. The system of claim 8 , wherein the problem description includes one or more of a vector of problem attributes and problem text, and wherein the solution description includes one or more of a vector of solution attributes and solution text.
10. The system of claim 9 , wherein providing the new solution description includes identifying, from the cases repository, at least one solution associated with at least one problem having a problem description matching a new problem description of the new problem.
11. The system of claim 8 , wherein the case metadata includes case owner information, case creation and modification dates, and relationships to other cases.
12. The system of claim 8 , wherein the problem description, the solution description, the new problem description, and the new solution description are sent through an application programming interface (API) used by a client accessing the case-based reasoning service through the cloud.
13. A non-transitory computer-readable media encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
receiving, at a case-based reasoning service and from a client, a problem description of a problem;
receiving, at the case-based reasoning service and from the client, a solution description for a solution to the problem;
generating, by the case-based reasoning service, case metadata for a case that defines the problem and the solution;
storing, by the case-based reasoning service, the problem description, the solution description, and the case metadata in a cases repository associating solutions with problems;
receiving, at the case-based reasoning service and from the client, a new problem;
performing an automated analysis of the new problem and comparison of the new problem with existing solutions in the cases repository to identify solutions matching the new problem;
providing, by the case-based reasoning service and to the client, a new solution description based on a match between the new problem description and the problem description and using the problem solution;
receiving, at the case-based reasoning service and from the client, feedback associated with the new solution description;
updating, by the case-based reasoning service and using the feedback, statistics about that new solution description;
determining, by the case-based reasoning service and using the feedback, that the new solution description has not been selected;
identifying, by the case-based reasoning service and using the feedback, an expert to contact or another solution avenue; and
providing, by the case-based reasoning service and to the client, information identifying the expert to contact or the other solution avenue.
14. The non-transitory computer-readable media of claim 13 , wherein the problem description includes one or more of a vector of problem attributes and problem text, and wherein the solution description includes one or more of a vector of solution attributes and solution text.
15. The non-transitory computer-readable media of claim 14 , wherein providing the new solution description includes identifying, from the cases repository, at least one solution associated with at least one problem having a problem description matching a new problem description of the new problem.
16. The non-transitory computer-readable media of claim 13 , wherein the case metadata includes case owner information, case creation and modification dates, and relationships to other cases.
17. The non-transitory computer-readable media of claim 13 , wherein the problem description, the solution description, the new problem description, and the new solution description are sent through an application programming interface (API) used by a client accessing the case-based reasoning service through the cloud.