公开(公告)号：US11914588B1

公开(公告)日：2024-02-27

申请号：US17943037

申请日：2022-09-12

Applicant: Splunk Inc.

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

IPC: G06F16/2453 ,  G06N20/00 ,  G06F16/248 ,  G06F16/2452 ,  G06N5/046 ,  G06N3/08 ,  G06N5/022 ,  G06N20/10

CPC classification number: G06F16/24534 ,  G06F16/248 ,  G06F16/24522 ,  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.

公开(公告)号：US11645471B1

公开(公告)日：2023-05-09

申请号：US17175240

申请日：2021-02-12

Applicant: SPLUNK INC.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Aungon Nag Radon

IPC: G06F40/30 ,  G06N20/00 ,  G06F40/295 ,  G06F40/247 ,  G06F40/205 ,  G06F3/0482

CPC classification number: G06F40/30 ,  G06F40/247 ,  G06F40/295 ,  G06N20/00 ,  G06F3/0482 ,  G06F40/205

Abstract: Various embodiments of the present application set forth a computer-implemented method that includes processing a first natural language (NL) request, where the first NL request includes a first artifact. The method further includes determining that a first relationship, associated with the first artifact and useable to process the first NL request, is unavailable in a first NL language processing system. The method further includes generating a first data relationship recommendation based on the first NL request. In addition, the method includes causing the first data relationship recommendation to be provided to a user.

公开(公告)号：US11494395B2

公开(公告)日：2022-11-08

申请号：US15665118

申请日：2017-07-31

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Aungon Nag Radon ,  Adam Oliner ,  Nikesh Padakanti ,  Roussi Roussev

IPC: G06F16/248 ,  G06F16/242 ,  G06F16/2452 ,  G06N5/04 ,  G06N5/02

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：US11461320B2

公开(公告)日：2022-10-04

申请号：US16790554

申请日：2020-02-13

Applicant: Splunk Inc.

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

IPC: 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：US11269872B1

公开(公告)日：2022-03-08

申请号：US16528567

申请日：2019-07-31

Applicant: SPLUNK INC.

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

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

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：US11120344B2

公开(公告)日：2021-09-14

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 ,  G06N3/08 ,  G06N5/02 ,  G06N20/00 ,  G06F16/2452 ,  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：US20200183930A1

公开(公告)日：2020-06-11

申请号：US16790554

申请日：2020-02-13

Applicant: Splunk Inc.

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

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

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：US20190034430A1

公开(公告)日：2019-01-31

申请号：US15663722

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 ,  G06N5/04

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.