PRICING DATA ACCORDING TO USAGE IN A QUERY

• US 20150199733A1
• Filed: 01/13/2014
• Published: 07/16/2015
• Est. Priority Date: 01/13/2014
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: ABUELSAAD, TAMER E., Boss, Gregory J., Ganci, John M. Jr., Trim, Craig M.
• Application Number:
  US14/153,217
• Publication Number:
  US 20150199733A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0283 Price estimation or determination

Abstract

A method, system, and computer program product for pricing data according to usage in a query are provided in the illustrative embodiments. A set of data cubes is identified according to a set of cube selection parameters for answering a query. A first subset of data cubes is disqualified from the set of data cubes. A second subset of participating data cubes is selected from the subset of qualified data cubes. A degree of contribution in an expected result-set responsive to the query is computed for a participating data cube. A price of the participating data cube is adjusted according to the degree of the contribution. A total price of using the second subset of participating data cubes for the query is computed. The second subset of participating data cubes, the expected result-set, and the total price are presented.

Claims

1. A method for pricing data according to usage, the method comprising:

identifying, by a processor, a set of data cubes according to a set of cube selection parameters, wherein a data cube in the set of data cubes comprises a quantum of data configured for trading in exchange for a payment, the set of data cubes being usable for answering a query;

determining, by the processor, whether a first subset of data cubes from the set of data cubes should be disqualified;

responsive to determining that the first subset of data cubes from the set of data cubes should be disqualified, disqualifying, by the processor, the first subset of data cubes from the set of data cubes, the first subset forming a subset of disqualified data cubes and non-disqualified data cubes in the set forming a subset of qualified data cubes, wherein a pricing definition associated with a disqualified data cube in the subset of disqualified data cubes prevents the disqualified data cube from participating in the query;

selecting, by the processor, a second subset of participating data cubes from the subset of qualified data cubes;

determining, by the processor, a degree of contribution of a participating data cube from the second subset in an expected result-set responsive to the query;

adjusting, by the processor, a price of the participating data cube according to the degree of the contribution of the participating data cube, forming a usage-based adjusted price;

computing, by the processor, a total price of using the second subset of participating data cubes for the query, the computing including the usage-based adjusted price; and

presenting, by the processor, the second subset of participating data cubes, the expected result-set, and the total price.

2. The method of claim 1, further comprising:

computing a confidence level in the expected result-set, wherein the presenting further includes the confidence level.

3. The method of claim 1, further comprising:

selecting a third subset of alternative data cubes from the set of data cubes, wherein the third subset of alternative data cubes is distinct from the second subset of participating data cubes;

computing a degree of contribution of an alternative data cube from the third subset of alternative data cubes in a revised expected result-set responsive to the query;

adjusting a price of the alternative data cube according to the degree of the contribution of the alternative data cube, forming a usage-based adjusted price of the alternative data cube;

computing a revised total price of using the usage-based adjusted price of the alternative data cube; and

presenting an alternative selection of data cubes for answering the query, the alternative selection including the alternative data cube, further presenting the revised expected result-set, and the revised total price.

4. The method of claim 3, wherein the presenting allows evaluating, prior to paying for the alternative data cube, the degree of contribution of the alternative data cube.

5. The method of claim 1, further comprising:

computing a portion of a confidence level of the expected result-set that corresponds to the participating data cube, wherein the adjusting the price of the participating data cube is further according to the portion of the confidence level.

6. The method of claim 1, further comprising:

computing a degree of an accuracy of the expected result-set that is attributed to the participating data cube, wherein the adjusting the price of the participating data cube is further according to the degree of the accuracy.

7. The method of claim 1, wherein the second subset satisfies a set of cube selection parameters specified for the query.

8. The method of claim 1, further comprising:

determining that a manner of using the disqualified data cube specified in the pricing definition associated with the disqualified data cube conflicts with a manner the disqualified data cube participates in the query.

9. The method of claim 1, further comprising:

determining that a manner of pricing the disqualified data cube specified in the pricing definition associated with the disqualified data cube conflicts with a cube selection parameter specified for the query.

10. The method of claim 1, further comprising:

receiving, from a data source, a data cube in the set of data cubes; and

receiving a pricing definition corresponding to the data cube, wherein the pricing definition specifies a model for pricing the data cube when at least a portion of the data cube participates in a query.

11. The method of claim 1, further comprising:

receiving, from a user, a query definition; and

receiving the set of cube selection parameters.

12. A computer program product comprising one or more computer-readable tangible storage devices and computer-readable program instructions which are stored on the one or more storage devices and when executed by one or more processors, perform the method of claim 1.

13. A computer system comprising one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices and program instructions which are stored on the one or more storage devices for execution by the one or more processors via the one or more memories and when executed by the one or more processors perform the method of claim 1.

14. A computer program product for pricing data according to usage, the computer program product comprising:

one or more computer-readable tangible storage devices;

program instructions, stored on at least one of the one or more storage devices, to identify a set of data cubes according to a set of cube selection parameters, wherein a data cube in the set of data cubes comprises a quantum of data configured for trading in exchange for a payment, the set of data cubes being usable for answering a query;

program instructions, stored on at least one of the one or more storage devices, to determine whether a first subset of data cubes from the set of data cubes should be disqualified;

program instructions, stored on at least one of the one or more storage devices, responsive to determining that the first subset of data cubes from the set of data cubes should be disqualified, to disqualify the first subset of data cubes from the set of data cubes, the first subset forming a subset of disqualified data cubes and non-disqualified data cubes in the set forming a subset of qualified data cubes, wherein a pricing definition associated with a disqualified data cube in the subset of disqualified data cubes prevents the disqualified data cube from participating in the query;

program instructions, stored on at least one of the one or more storage devices, to select a second subset of participating data cubes from the subset of qualified data cubes;

program instructions, stored on at least one of the one or more storage devices, to determine a degree of contribution of a participating data cube from the second subset in an expected result-set responsive to the query;

program instructions, stored on at least one of the one or more storage devices, to adjust a price of the participating data cube according to the degree of the contribution of the participating data cube, forming a usage-based adjusted price;

program instructions, stored on at least one of the one or more storage devices, to compute a total price of using the second subset of participating data cubes for the query, the computing including the usage-based adjusted price; and

program instructions, stored on at least one of the one or more storage devices, to present the second subset of participating data cubes, the expected result-set, and the total price.

15. The computer program product of claim 14, further comprising:

program instructions, stored on at least one of the one or more storage devices, to compute a confidence level in the expected result set, wherein the presenting further includes the confidence level.

16. The computer program product of claim 14, further comprising:

program instructions, stored on at least one of the one or more storage devices, to select a third subset of alternative data cubes from the set of data cubes, wherein the third subset of alternative data cubes is distinct from the second subset of participating data cubes;

program instructions, stored on at least one of the one or more storage devices, to compute a degree of contribution of an alternative data cube from the third subset of alternative data cubes in a revised expected result-set responsive to the query;

program instructions, stored on at least one of the one or more storage devices, to adjust a price of the alternative data cube according to the degree of the contribution of the alternative data cube, forming a usage-based adjusted price of the alternative data cube;

program instructions, stored on at least one of the one or more storage devices, to compute a revised total price of using the usage-based adjusted price of the alternative data cube; and

program instructions, stored on at least one of the one or more storage devices, to present an alternative selection of data cubes for answering the query, the alternative selection including the alternative data cube, further presenting the revised expected result-set, and the revised total price.

17. The computer program product of claim 16, wherein the program instructions, stored on at least one of the one or more storage devices, to present allows evaluating, prior to paying for the alternative data cube, the degree of contribution of the alternative data cube.

18. The computer program product of claim 14, further comprising:

program instructions, stored on at least one of the one or more storage devices, to compute a portion of a confidence level of the expected result-set that corresponds to the participating data cube, wherein the adjusting the price of the participating data cube is further according to the portion of the confidence level.

19. The computer program product of claim 14, further comprising:

program instructions, stored on at least one of the one or more storage devices, to compute a degree of an accuracy of the expected result-set that is attributed to the participating data cube, wherein the adjusting the price of the participating data cube is further according to the degree of the accuracy.

20. A computer system for pricing data according to usage, the computer system comprising:

one or more processors, one or more computer-readable memories and one or more computer-readable tangible storage devices;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to identify a set of data cubes according to a set of cube selection parameters, wherein a data cube in the set of data cubes comprises a quantum of data configured for trading in exchange for a payment, the set of data cubes being usable for answering a query;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to determine whether a first subset of data cubes from the set of data cubes should be disqualified;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, responsive to determining that the first subset of data cubes from the set of data cubes should be disqualified, to disqualify the first subset of data cubes from the set of data cubes, the first subset forming a subset of disqualified data cubes and non-disqualified data cubes in the set forming a subset of qualified data cubes, wherein a pricing definition associated with a disqualified data cube in the subset of disqualified data cubes prevents the disqualified data cube from participating in the query;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to select a second subset of participating data cubes from the subset of qualified data cubes;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to determine a degree of contribution of a participating data cube from the second subset in an expected result-set responsive to the query;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to adjust a price of the participating data cube according to the degree of the contribution of the participating data cube, forming a usage-based adjusted price;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to compute a total price of using the second subset of participating data cubes for the query, the computing including the usage-based adjusted price; and

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to present the second subset of participating data cubes, the expected result-set, and the total price.