SYSTEM AND METHOD FOR PUBLISHING SYNTHESIZED DATA TO FACILITATE PROVIDING INFORMATION AS A SERVICE

• US 20110225171A1
• Filed: 06/16/2010
• Published: 09/15/2011
• Est. Priority Date: 03/12/2010
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Wilson, Adam D., Khosravy, Moe
• Application Number:
  US12/816,868
• Publication Number:
  US 20110225171A1
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls

Abstract

Aspects are disclosed for synthesizing data to facilitate providing information as a service. Data contributions from disparate sources are aggregated in which at least a first data contribution is combined with a second data contribution to create a data combination. A consumption of the data combination is then tracked, and a contribution value associated with at least one contributor to the data combination is ascertained based on the consumption.

Claims

1. A method for synthesizing data to facilitate providing information as a service, comprising:

employing a processor to execute computer executable instructions stored on a computer readable storage medium to implement a series of acts including;

aggregating a plurality of data contributions;

combining a first data contribution with a second data contribution to create a data combination;

tracking a consumption of the data combination; and

ascertaining a contribution value associated with at least one contributor to the data combination, the contribution value based on the consumption.

2. The method of claim 1, wherein the data combination is a merged value, the combining comprising merging a first value associated with the first data contribution with a second value associated with the second data contribution to create the merged value.

3. The method of claim 2, further comprising determining a confidence level associated with the merged value.

4. The method of claim 1, wherein the data combination is a joined dataset, the combining comprising joining a first dataset associated with the first data contribution with a second dataset associated with the second data contribution to create the joined dataset.

5. The method of claim 1, further comprising aggregating the plurality of data contributions based on a search criteria, the first data contribution and the second data contribution included in a set of results matching the search criteria.

6. The method of claim 1, wherein the plurality of data contributions include qualitative data.

7. The method of claim 1, wherein the plurality of data contributions include quantitative data.

8. The method of claim 1, further comprising associating a reputation value with the at least one contributor, the contribution value based on the reputation value.

9. The method of claim 1, further comprising monitoring a revenue stream associated with the consumption.

10. An apparatus configured to synthesize data to facilitate providing information as a service, the apparatus comprising:

a processor configured to execute computer executable components stored in memory, the components including;

an aggregation component configured to aggregate a plurality of data contributions;

a combining component configured to combine a first data contribution with a second data contribution to create a data combination;

a tracking component configured to track a consumption of the data combination; and

a valuation component configured to ascertain a contribution value associated with at least one contributor to the data combination, the contribution value based on the consumption.

11. The apparatus of claim 10, wherein the data combination is a merged value, the combining component configured to merge a first value associated with the first data contribution with a second value associated with the second data contribution to create the merged value.

12. The apparatus of claim 11, the combining component configured to determine a confidence level associated with the merged value.

13. The apparatus of claim 12, the combining component configured to assign a weight to at least one of the first data contribution or the second data contribution, wherein the confidence level is based on the weight.

14. The apparatus of claim 10, wherein the data combination is a joined dataset, the combining component configured to join a first dataset associated with the first data contribution with a second dataset associated with the second data contribution to create the joined dataset.

15. The apparatus of claim 10, the aggregation component further configured to aggregate the plurality of data contributions based on a search criteria, the first data contribution and the second data contribution included in a set of results matching the search criteria.

16. The apparatus of claim 10, the valuation component configured to associate a reputation value with the at least one contributor, the contribution value based on the reputation value.

17. The apparatus of claim 10, the tracking component configured to monitor a revenue stream associated with the consumption.

18. The apparatus of claim 17, the tracking component configured to determine an allocation of the revenue stream earned by the at least one contributor, the allocation based on the contribution value.

19. The apparatus of claim 17, the combining component configured to insert an advertisement into a display of the data combination, the revenue stream including an advertising portion associated with the advertisement.

20. A computer program product for synthesizing data to facilitate providing information as a service, comprising:

a computer-readable storage medium comprising code for causing at least one computer to;

aggregate a plurality of data contributions;

combine a first data contribution with a second data contribution to create a data combination, wherein the data combination is at least one of a merged value or a joined dataset;

track a consumption of the data combination;

ascertain a contribution value associated with at least one contributor to the data combination, the contribution value based on the consumption; and

weight the contribution value according to a corresponding reputation value.