VISUALIZATIONS BASED ON NATURAL LANGUAGE QUERY

• US 20150006518A1
• Filed: 06/27/2013
• Published: 01/01/2015
• Est. Priority Date: 06/27/2013
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Baumgartner, Patrick J., Netz, Amir M., Rezaei, Pedram Faghihi, Udupa, Sharath Kodi
• Application Number:
  US13/929,435
• Publication Number:
  US 20150006518A1
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/3329 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Providing visualizations based on natural language searches. A method includes receiving a natural language query from a client. The method further includes based on the natural language query, obtaining a semantic model of the natural language query. The method further includes based on the semantic model, obtaining a list of a plurality of visualizations, the visualizations being based on a bias ranking of the visualizations in the list. The method further includes providing the list of the plurality of visualizations to the client, where at the client a set of visualization construction rules are applied to select a visualization from the list to apply results from the natural language query to the visualization.

Claims

1. A method of providing visualizations based on natural language searches, the method comprising:

receiving a natural language query from a client;

based on the natural language query, obtaining a semantic model of the natural language query;

based on the semantic model, obtaining a list of a plurality of visualizations, the visualizations being based on a bias ranking of the visualizations in the list; and

providing the list of the plurality of visualizations to the client, where at the client a set of visualization construction rules are applied to select a visualization from the list to apply results from the natural language query to the visualization.

2. The method of claim 1, wherein the client applies visualization construction rules to visualization on the list dependent on how the visualization was added to the list.

3. The method of claim 1, wherein the visualizations are based on a bias ranking, the bias ranking taking into account client capabilities.

4. The method of claim 1, wherein the visualizations are based on a bias ranking, the bias ranking taking into account machine learning.

5. The method of claim 1, wherein the visualizations are based on a bias ranking, the bias ranking taking into account data results from the request.

6. The method of claim 1, wherein visualizations are based on a bias ranking, the bias ranking taking into account explicit user direction in the natural language search.

7. The method of claim 1, further comprising updating the semantic model of the natural language query to obtain data results to be able to provide a preferred visualization from the bias list.

20. The method of claim 1, further comprising updating the semantic model of the natural language query to obtain data results to be able to provide a preferred visualization from the bias list.

8. A computing system for providing visualizations based on natural language searches, the system comprising:

one or more processors; and

one or more computer readable media, wherein the one or more computer readable media comprise computer executable instructions that when executed by at least one of the one or more processors cause the system to perform the following;

receiving a natural language query from a client;

based on the natural language query, obtaining a semantic model of the natural language query;

based on the semantic model, obtaining a list of a plurality of visualizations, the visualizations being based on a bias ranking of the visualizations in the list; and

providing the list of the plurality of visualizations to the client, where at the client a set of visualization construction rules are applied to select a visualization from the list to apply results from the natural language query to the visualization.

9. The system of claim 8, wherein the client applies visualization construction rules to visualization on the list dependent on how the visualization was added to the list.

10. The system of claim 8, wherein the visualizations are based on a bias ranking, the bias ranking taking into account client capabilities.

11. The system of claim 8, wherein the visualizations are based on a bias ranking, the bias ranking taking into account machine learning.

12. The system of claim 8, wherein the visualizations are based on a bias ranking, the bias ranking taking into account data results from the request.

13. The system of claim 8, wherein visualizations are based on a bias ranking, the bias ranking taking into account explicit user direction in the natural language search.

14. The system of claim 8, further comprising updating the semantic model of the natural language query to obtain data results to be able to provide a preferred visualization from the bias list.

15. A physical computer readable storage medium comprising computer executable instructions that when executed by one or more processors causes the following to be performed:

receiving a natural language query from a client;

based on the natural language query, obtaining a semantic model of the natural language query;

based on the semantic model, obtaining a list of a plurality of visualizations, the visualizations being based on a bias ranking of the visualizations in the list; and

providing the list of the plurality of visualizations to the client, where at the client a set of visualization construction rules are applied to select a visualization from the list to apply results from the natural language query to the visualization.

16. The computer readable medium of claim 15, wherein the visualizations are based on a bias ranking, the bias ranking taking into account client capabilities.

17. The computer readable medium of claim 15, wherein the visualizations are based on a bias ranking, the bias ranking taking into account machine learning.

18. The computer readable medium of claim 15, wherein the visualizations are based on a bias ranking, the bias ranking taking into account data results from the request.

19. The computer readable medium of claim 15, wherein visualizations are based on a bias ranking, the bias ranking taking into account explicit user direction in the natural language search.