SYSTEMS AND METHODS FOR VISUAL DEFINITION OF DATA ASSOCIATIONS

• US 20150227295A1
• Filed: 04/20/2015
• Published: 08/13/2015
• Est. Priority Date: 01/03/2014
• Status: Active Grant

• Current Assignee: Palantir Technologies Incorporated
• Original Assignee: Palantir Technologies Incorporated
• Inventors: MEIKLEJOHN, David, FEDDERLY, Matthew, HENKE, Joseph, XING, Yichen
• Granted Patent: US 10,120,545 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/986 Document structures and storage, e.g. HTML extensions
• CPC Class Codes: G06F 3/04817 using icons graphical or visual programming using iconic symbols G06F8/34
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06F 40/134 Hyperlinking
• CPC Class Codes: G06F 40/14 Tree-structured documents parsing G06F40/205; validation G06F40/226
• CPC Class Codes: G06F 40/289 Phrasal analysis, e.g. finite state techniques or chunking

Abstract

Systems and methods are disclosed for visual definitions of data associations. In accordance with one implementation, a method is provided for visual definitions of data associations. The method includes obtaining and displaying a first sample document, receiving a first input indicating selection of one or more objects within the first sample document, and determining a first set of one or more characteristics shared by the selected objects. The method also includes identifying, within one or more target documents, one or more target objects characterized by the first set of one or more characteristics, and storing object data associated with the target objects.

Claims

1. An electronic device comprising:

one or more computer-readable storage media configured to store instructions; and

one or more processors configured to execute the instructions to cause the electronic device to;

obtain and display a first sample document;

receive a first input indicating selection of one or more objects within the first sample document;

determine a first set of one or more characteristics shared by the selected objects;

identify, within one or more target documents, one or more target objects characterized by the first set of one or more characteristics; and

store object data associated with the target objects.

2. The electronic device of claim 1, wherein the one or more processors are further configured to execute the instructions to cause the electronic device to:

assign weights to one or more characteristics of the first set of one or more characteristics, and wherein the identification of the one or more target objects is in response to the one or more target objects having one or more characteristics with a single or combined weight above a threshold.

3. The electronic device of claim 1, wherein the one or more processors are further configured to execute the instructions to cause the electronic device to:

obtain the one or more target documents based on previously identified target objects.

4. The electronic device of claim 1, wherein the one or more processors are further configured to execute the instructions to cause the electronic device to:

receive a second input indicating de-selection of one or more previously selected objects; and

determine a second set of characteristics based on the first and second inputs.

5. The electronic device of claim 1, wherein the selected objects further includes objects automatically selected by the electronic device, wherein the objects automatically selected by the electronic device are also characterized by the first set of one or more characteristics.

6. The electronic device of claim 1, wherein the one or more processors are further configured to execute the instructions to cause the electronic device to:

highlight at least one of the identified one or more target objects in at least a document of the one or more target documents.

7. The electronic device of claim 1, wherein at least a portion of the selected objects are references, and wherein the one or more processors are further configured to execute the instructions to cause the electronic device to:

determine a set of objects associated with the references;

determine a second set of one or more characteristics shared by the set of objects;

identify one or more secondary target objects characterized by the second set of one or more characteristics; and

store object data associated with the secondary target objects.

8. The electronic device of claim 1, wherein the one or more processors are further configured to execute the instructions to cause the electronic device to:

determine if a characteristic of an object is a link to a second document; and

if the characteristic of the object is a link to the second document, identify target objects in the second document.

9. A method performed by at least one electronic device comprising one or more processors, the method comprising:

obtaining and displaying a first sample document;

receiving a first input indicating selection of one or more objects within the first sample document;

determining a first set of one or more characteristics shared by the selected objects;

identifying, within one or more target documents, one or more target objects characterized by the first set of one or more characteristics; and

storing object data associated with the target objects.

10. The method of claim 9, further comprising:

assigning weights to one or more characteristics of the first set of one or more characteristics, and wherein the identification of the one or more target objects is in response to the one or more target objects having one or more characteristics with a single or combined weight above a threshold.

11. The method of claim 9, further comprising:

obtaining the one or more target documents based on previously identified target objects.

12. The method of claim 9, further comprising:

receiving a second input indicating de-selection of one or more previously selected objects; and

determining a second set of characteristics based on the first and second inputs.

13. The method of claim 9, wherein the selected objects further includes objects automatically selected by the electronic device, wherein the objects automatically selected by the electronic device are also characterized by the first set of one or more characteristics.

14. The method of claim 9, further comprising:

highlighting at least one of the identified one or more target objects in at least a document of the one or more target documents.

15. The method of claim 9, wherein at least a portion of the selected objects are references, and further comprising:

determining a set of objects associated with the references;

determining a second set of one or more characteristics shared by the set of objects;

identifying one or more secondary target objects characterized by the second set of one or more characteristics; and

storing object data associated with the secondary target objects

16. The method of claim 9, further comprising:

determining if a characteristic of an object is a link to a second document; and

if the characteristic of the object is a link to the second document, identifying target objects in the second document.

17. A non-transitory computer-readable medium storing a set of instructions that are executable by one or more electronic devices, each having one or more processors, to cause the one or more electronic devices to perform a method, the method comprising:

obtaining and displaying a first sample document;

receiving a first input indicating selection of one or more objects within the first sample document;

determining a first set of one or more characteristics shared by the selected objects;

identifying, within one or more target documents, one or more target objects characterized by the first set of one or more characteristics; and

storing object data associated with the target objects.

18. The non-transitory computer-readable medium of claim 17, further comprising instructions executable by the one or more electronic devices to cause the one or more electronic devices to perform:

assigning weights to one or more characteristics of the first set of one or more characteristics, and wherein the identification of the one or more target objects is in response to the one or more target objects having one or more characteristics with a single or combined weight above a threshold.

19. The non-transitory computer-readable medium of claim 17, further comprising instructions executable by the one or more electronic devices to cause the one or more electronic devices to perform:

obtaining the one or more target documents based on previously identified target objects.

20. The non-transitory computer-readable medium of claim 17, further comprising instructions executable by the one or more electronic devices to cause the one or more electronic devices to perform:

receiving a second input indicating de-selection of one or more previously selected objects; and

determining a second set of characteristics based on the first and second inputs.