公开(公告)号：US10984041B2

公开(公告)日：2021-04-20

申请号：US15976770

申请日：2018-05-10

申请人： Commvault Systems, Inc.

发明人： Pavan Kumar Reddy Bedadala ,  Shilpa Nagendra ,  Rajesh Polimera ,  Aakash Chakravarthy Vijayakumar ,  Jie Chen ,  Neha Mathur ,  Vinay K. Pamarthi ,  Surya Prakash Ramachandran ,  Prasanna Kumar Thoppe Ravindran ,  Hari Prasad Ravula ,  Supreeth Sanur ,  Ganesh Kumar Subramanian ,  Priya Sundaresan ,  Jugpreet Singh Talwar

IPC分类号： G06F16/632 ,  G06F16/2452 ,  G10L15/22 ,  G06F16/332 ,  G06F40/58 ,  G10L15/26 ,  G06F16/17 ,  G06F16/9032 ,  G10L15/18

摘要： The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text.

公开(公告)号：US20180329993A1

公开(公告)日：2018-11-15

申请号：US15976770

申请日：2018-05-10

申请人： Commvault Systems, Inc.

发明人： Pavan Kumar Reddy Bedadala ,  Shilpa Nagendra ,  Rajesh Polimera ,  Aakash Chakravarthy Vijayakumar ,  Jie Chen ,  Neha Mathur ,  Vinay K. Pamarthi ,  Surya Prakash Ramachandran ,  Prasanna Kumar Thoppe Ravindran ,  Hari Prasad Ravula ,  Supreeth Sanur ,  Ganesh Kumar Subramanian ,  Priya Sundaresan ,  Jugpreet Singh Talwar

IPC分类号： G06F17/30 ,  G06F17/28 ,  G10L15/26 ,  G10L15/22

CPC分类号： G06F17/30755 ,  G06F17/2863 ,  G06F17/3043 ,  G10L15/22 ,  G10L15/265

摘要： The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text. In some implementations, the disclosed technology allows the user to automatically connect to a help desk technician to assist in completing the query.