Generating object time series from data objects

• US 9,779,525 B2
• Filed: 12/28/2016
• Issued: 10/03/2017
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Palantir Technologies Incorporated
• Original Assignee: Palantir Technologies Incorporated
• Inventors: Sharma, Tilak, Chuang, Steve, Chiu, Rico, Shi, Andrew, Canfield, Lindsay, Kumar, Adit
• Primary Examiner(s): Nguyen, Vu
• Application Number:
  US15/392,624
• Publication Number:
  US 20170109910A1
• Time in Patent Office: 279 Days
• Field of Search: None
• CPC Class Codes: G06F 16/41 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/9027 Trees
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs

Abstract

Systems and methods are presented for representing non-numerical data objects in an object time series. An object time series of can be created by establishing one or more associations, each association including a mapping of at least one point in time with one or more objects that include properties and values. Visual representation of an object time series may include displaying non-numerical values associated with objects in the object time series in association with respective points in time.

Claims

1. A computer implemented method comprising:

by a computer system comprising one or more computer hardware processors and one or more storage devices,

parsing, according to a first parser definition, first data in a first format to generate first modified data different from the first data, the first data from a first data source;

generating, from at least some of the first modified data, an event object;

parsing, according to a second parser definition, second data in a second format to generate a non-event object, the non-event object corresponding to a data container for properties, and wherein a property of the properties comprises a property type corresponding to a first property value which has a non-numerical value, the second data from a second data source;

determining, from a second property of at least one of the event object or the non-event object, an association between the event object and the non-event object;

accessing the first property value of the non-event object;

generating an object time series based at least on a plurality of points in time, wherein a first point in time of the plurality of points in time is associated with at least the event object; and

causing presentation of a visual representation of the object time series including representations of the event object with the first point in time, the non-event object with at least one respective point in time, and the non-numerical value, and wherein the visual representation of the object time series further comprises each object of the event object and the non-event object as visually connected with at least one respective point in time on the visual representation.

2. The computer implemented method of claim 1, wherein parsing the second data further comprises:

identifying, from the second parser definition, the property type for at least some of the second data.

3. The computer implemented method of claim 1, further comprising:

receiving user input data comprising a user defined link type, wherein determining the association between the event object and the non-event object is based at least on the user defined link type.

4. The computer implemented method of claim 1, further comprising:

receiving user input data comprising a user defined object type and a user defined property type associated with the user defined object type, wherein at least one of the event object or the non-event object corresponds to the user defined object type, the at least one of the event object or the non-event object comprising the user defined property type.

5. The computer implemented method of claim 1, further comprising:

determining that the event object is further associated with another non-event object; and

causing presentation of a graph visual representation including a representation of the non-event object as linked with the another non-event object.

6. A non-transitory computer storage medium storing computer executable instructions that when executed by a computer hardware processor perform operations comprising:

parsing, according to a first parser definition, first data in a first format to generate first modified data different from the first data, the first data from a first data source;

generating, from at least some of the first modified data, an event object;

parsing, according to a second parser definition, second data in a second format to generate a non-event object, the non-event object corresponding to a data container for properties, and wherein a property of the properties comprises a property type corresponding to a first property value which has a non-numerical value, the second data from a second data source;

determining, from a second property of at least one of the event object or the non-event object, an association between the event object and the non-event object;

accessing the first property value of the non-event object;

generating an object time series based at least on a plurality of points in time, wherein a first point in time of the plurality of points in time is associated with at least the event object; and

causing presentation of a visual representation of the object time series including representations of the event object with the first point in time, the non-event object with at least one respective point in time, and the non-numerical value, and wherein the visual representation of the object time series further comprises each object of the event object and the non-event object as visually connected with at least one respective point in time on the visual representation.

7. The non-transitory computer storage medium of claim 6, wherein parsing the second data further comprises:

identifying, from the second parser definition, the property type for at least some of the second data.

8. The non-transitory computer storage medium of claim 6, wherein the operations further comprise:

receiving user input data comprising a user defined link type, wherein determining the association between the event object and the non-event object is based at least on the user defined link type.

9. The non-transitory computer storage medium of claim 6, wherein the operations further comprise:

receiving user input data comprising a user defined object type and a user defined property type associated with the user defined object type, wherein at least one of the event object or the non-event object corresponds to the user defined object type, the at least one of the event object or the non-event object comprising the user defined property type.

10. The non-transitory computer storage medium of claim 6, wherein the operations further comprise:

determining that the event object is further associated with another non-event object; and

generating a graph visual representation including representations of the non-event object as linked with the another non-event object.

11. The non-transitory computer storage medium of claim 6, wherein a data type of the property comprises at least one of:

a text type or a number type.

12. A system comprising:

a plurality of data sources comprising a first data source and a second data source, wherein first data of the first data source is stored in a first format, the first format different from a second format of second data of the second data source;

at least one computer hardware processor; and

data storage comprising instructions executable by the at least one computer hardware processor to cause the system to;

parse, according to a first parser definition, the first data in the first format to generate first modified data different from the first data;

generate, from at least some of the first modified data, an event object;

parse, according to a second parser definition, the second data in the second format to generate a non-event object, the non-event object corresponding to a data container for properties, and wherein a property of the properties comprises a property type corresponding to a first property value which has a non-numerical value;

determine, from a second property of at least one of the event object or the non-event object, an association between the event object and the non-event object;

access the first property value of the non-event object;

generate an object time series based at least on a plurality of points in time, wherein a first point in time of the plurality of points in time is associated with at least the event object; and

cause presentation of a visual representation of the object time series including representations of the event object with the first point in time, the non-event object with at least one respective point in time, and the non-numerical value, and wherein the visual representation of the object time series further comprises each object of the event object and the non-event object as visually connected with at least one respective point in time on the visual representation.

13. The system of claim 12, wherein parsing the second data further comprises:

identifying, from the second parser definition, the property type for at least some of the second data.

14. The system of claim 12, wherein the instructions executable by the at least one computer hardware processor further cause the system to:

receive user input data comprising a user defined link type, wherein determining the association between the event object and the non-event object is based at least on the user defined link type.

15. The system of claim 12, wherein the instructions executable by the at least one computer hardware processor further cause the system to:

receive user input data comprising a user defined object type and a user defined property type associated with the user defined object type, wherein at least one of the event object or the non-event object corresponds to the user defined object type, the at least one of the event object or the non-event object comprising the user defined property type.

16. The system of claim 12, wherein the instructions executable by the at least one computer hardware processor further cause the system to:

determine that the event object is further associated with another non-event object; and

cause presentation of a graph visual representation including a representation of the non-event object as linked with the another non-event object.

17. The system of claim 12, wherein a data type of the property comprises at least one of:

a text type or a number type.