Personal assistant context building

• US 9,772,990 B2
• Filed: 09/11/2015
• Issued: 09/26/2017
• Est. Priority Date: 12/07/2012
• Status: Active Grant

• Current Assignee: ZAMA Innovations LLC
• Original Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC)
• Inventors: Kruglick, Ezekiel
• Primary Examiner(s): Pham, Hung Q
• Application Number:
  US14/851,245
• Publication Number:
  US 20160004686A1
• Time in Patent Office: 746 Days
• Field of Search: None
• CPC Class Codes: G06F 16/374 Thesaurus
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9566 URL specific, e.g. using aliases, detecting broken or misspelled links
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 9/547 Remote procedure calls [RPC]; Web services
• CPC Class Codes: H04L 41/0266 using meta-data, objects or commands for formatting management information, e.g. using eXtensible markup language [XML]
• CPC Class Codes: H04L 67/51 Discovery or management thereof, e.g. service location protocol [SLP] or web services

Abstract

Technologies related to personal assistant context building are generally described. In some examples, network service communications, such as network traffic resulting from the use of mobile applications or “apps” on a mobile device, may be captured, parsed, and included in personal assistant context databases for use in configuring automated personal assistant user interaction operations. In some examples, parsing services may be provided to parse forwarded network service communications and generate converted data for inclusion in personal assistant context databases.

Claims

1. A method to provide a parsing service, the method comprising:

receiving, by a network server from a computing device, a copy of a network application programming interface (API) communication that includes one or more of a network API call made by the computing device or a network API response received by the computing device;

parsing, by the network server, the received copy of the network API communication to generate parsed personal assistant data, wherein parsing comprises at least removing repetitive data from the received copy of the network API communication;

maintaining, by the network server, a network service library that includes service translation information for a plurality of network APIs;

identifying, by the network server, the service translation information in the network service library for a network API that corresponds to the received copy of the network API communication;

converting, by the network server, the parsed personal assistant data using the identified service translation information, so as to produce converted data, wherein the identified service translation information comprises;

terms used in connection with the network API, and

corresponding translation outputs;

including, by the network server, the converted data in the parsed personal assistant data; and

sending, by the network server, the parsed personal assistant data that includes the converted data to the computing device.

2. The method of claim 1, wherein receiving the copy of the network API communication comprises receiving a copy of one or more of an extensible markup language (XML) communication or a javascript object notation (JSON) communication.

3. The method of claim 1, further comprising:

determining, by the network server, relative weights of relationships between the parsed personal assistant data; and

including the relative weights of relationships in the parsed personal assistant data.

4. The method of claim 1, wherein maintaining the network service library comprises checking published network APIs for updates to the published network APIs.

5. The method of claim 4, wherein maintaining the network service library comprises including, for an update to a published network API, thesaurus information for the update to the published network API.

6. The method of claim 1, wherein the parsing the received copy of the network API communication comprises grouping portions of the received copy of the network API communication.

7. A non-transitory computer readable storage medium that includes computer executable instructions stored thereon that are executable by a processor, wherein the instructions, in response to execution by the processor, implement a parsing service, which causes the processor to perform or control performance of operations that comprise:

identify a copy of a network application programming interface (API) communication that includes one or more of a network API request made by a computing device or a network API response received by the computing device;

parse the identified copy of the network API communication by at least removal of repetitive data from the identified copy of the network API communication, so as to generate parsed personal assistant data;

maintain a network service library that includes service translation information for a plurality of network APIs;

identify the service translation information in the network service library for a network API that corresponds to the identified copy of the network API communication;

convert the parsed personal assistant data by use of the identified service translation information, so as to produce converted data, wherein the service translation information comprises;

terms used in connection with the network API, and

corresponding translation outputs;

include the converted data in the parsed personal assistant data; and

send the parsed personal assistant data that includes the converted data to the computing device.

8. The non-transitory computer readable storage medium of claim 7, wherein the network API communication comprises one or more of an extensible markup language (XML) communication or a javascript object notation (JSON) communication.

9. The non-transitory computer readable storage medium of claim 7, wherein the operations further comprise:

determine relative weights of relationships between the parsed personal assistant data; and

include the relative weights of relationships in the parsed personal assistant data.

10. The non-transitory computer readable medium of claim 7, wherein the operations to maintain the network service library comprises at least one operation to check published network APIs for updates to the published network APIs.

11. The non-transitory computer readable medium of claim 10, wherein the operations to maintain the network service library comprises at least one operation to include, for an update to a published network API, thesaurus information for the update to the published network API.

12. The non-transitory computer readable medium of claim 7, wherein the operations to parse the identified copy of the network API communication comprises at least one operation to parse, in part by grouping portions of the identified copy of the network API communication.

13. A network server configured to provide a parsing service, the network server comprising:

a processor;

a memory coupled to the processor; and

the parsing service stored in the memory and executable by the processor, wherein the parsing service is configured to;

receive a copy of a network application programming interface (API) communication that includes one or more of a network API request made by a computing device or a network API response received by the computing device;

parse the received copy of the network API communication by at least removal of repetitive data from the received copy of the network API communication, so as to generate parsed personal assistant data;

maintain a network service library that includes service translation information for a plurality of network APIs;

identify the service translation information in the network service library for a network API that corresponds to the received copy of the network API communication;

convert the parsed personal assistant data by use of the identified service translation information, so as to produce converted data, wherein the service translation information comprises;

terms used in connection with the network API, and

corresponding translation outputs;

include the converted data in the parsed personal assistant data; and

send the parsed personal assistant data that includes the converted data to the computing device.

14. The network server of claim 13, wherein the network API communication comprises one or more of an extensible markup language (XML) communication or a javascript object notation (JSON) communication.

15. The network server of claim 13, wherein the parsing service is configured to determine relative weights of relationships between the parsed personal assistant data, and to include the relative weights of relationships in the parsed personal assistant data.

16. The network server of claim 13, wherein the parsing service is configured to maintain the network service library at least, in part, by checking published network APIs for updates to the published network APIs.

17. The network server of claim 16, wherein the parsing service is configured to maintain the network service library at least, in part, by including, for an update to a published network API, thesaurus information for the update to the published network API.

18. The network server of claim 13, wherein the parsing service is configured to parse the received copy of the network API communication at least, in part, by grouping portions of the received copy of the network API communication.