公开(公告)号：US10565196B2

公开(公告)日：2020-02-18

申请号：US15663726

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F16/30 ,  G06F16/2453 ,  G06N20/00 ,  G06F16/248 ,  G06F16/2452 ,  G06N5/04 ,  G06N3/08 ,  G06N5/02 ,  G06N20/10

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US20190034813A1

公开(公告)日：2019-01-31

申请号：US15663725

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06N5/04 ,  G06N99/00 ,  G06F17/30

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US11886430B1

公开(公告)日：2024-01-30

申请号：US17689562

申请日：2022-03-08

Applicant: SPLUNK INC.

Inventor： Yow Han Moo ,  Dayanand Pochugari ,  Aungon Nag Radon ,  Xin Li ,  Venkat Mamdi ,  Anand Srinivasabagavathar

IPC: G06F17/00 ,  G06F16/242 ,  G06F16/2457 ,  G06F16/248 ,  G06N20/00

CPC classification number: G06F16/243 ,  G06F16/248 ,  G06F16/24575 ,  G06N20/00

Abstract: Various embodiments of the present application set forth a computer-implemented method that includes receiving, from a device, a natural-language (NL) request. The method further includes selecting, using the NL request, an intent from a set of intents, wherein the intent is associated with a pre-defined intent template, the pre-defined intent template including a set of property fields that are associated with one or more portions of the NL request. The method also includes determining, based on the NL request, a set of property field values for the set of property fields. The method further includes generating a query to be executed on a field-searchable data source, wherein the query is based on one or more property field values included in the set of property field values. The method also includes receiving, in response to the query, a result that includes a set of event field values. In addition, the method includes causing the device to display at least a portion of the result.

公开(公告)号：US20190034499A1

公开(公告)日：2019-01-31

申请号：US15663723

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F17/30 ,  G06N3/08

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US10885026B2

公开(公告)日：2021-01-05

申请号：US15663720

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F16/2452 ,  G06N5/04 ,  G06F16/2455 ,  G06F16/2458 ,  G06N20/10 ,  G06F16/33 ,  G06N3/08 ,  G06N5/02 ,  G06F40/30 ,  G06F40/35 ,  G06F40/186

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US20190034555A1

公开(公告)日：2019-01-31

申请号：US15665104

申请日：2017-07-31

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Aungon Nag Radon ,  Dayanand Pochugari ,  Adam Oliner ,  Nikesh Padakanti ,  Anand Srinivasabagavathar ,  Neeraj Verma

IPC: G06F17/30 ,  G06F17/27 ,  G06N5/04

Abstract: In various embodiments, a natural language (NL) application enables users to more effectively access various data storage systems based on NL requests. As described, the NL application includes functionality for selecting an optimal interpretation algorithm, generating a dashboard, and/or generating an alert based on an NL request. Advantageously, the operations performed by the NL application reduce the amount of time and user effort associated with accessing data storage systems and increase the likelihood of properly addressing NL requests.

公开(公告)号：US20190034498A1

公开(公告)日：2019-01-31

申请号：US15663721

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F17/30 ,  G06N3/08

CPC classification number: G06F16/248 ,  G06F16/2423 ,  G06F16/243 ,  G06F16/24522 ,  G06N3/08 ,  G06N5/022 ,  G06N5/046 ,  G06N20/10

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US11170016B2

公开(公告)日：2021-11-09

申请号：US15663723

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F16/248 ,  G06N3/08 ,  G06F16/2452 ,  G06F16/242 ,  G06N20/10 ,  G06N5/02 ,  G06N5/04

Abstract: A natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. The operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US10713269B2

公开(公告)日：2020-07-14

申请号：US15663721

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F16/00 ,  G06F16/248 ,  G06N3/08 ,  G06F16/242 ,  G06F16/2452 ,  G06N5/02 ,  G06N5/04 ,  G06N20/10

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US20190034484A1

公开(公告)日：2019-01-31

申请号：US15663726

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06F16/24534 ,  G06F16/24522 ,  G06F16/248 ,  G06N3/08 ,  G06N5/022 ,  G06N5/046 ,  G06N20/00 ,  G06N20/10

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.