Typeahead and autocomplete for natural language queries

    公开(公告)号:US11055353B2

    公开(公告)日:2021-07-06

    申请号:US15885430

    申请日:2018-01-31

    Abstract: Embodiments are described for enabling a user to query a database using natural language and receive results without requiring the user to manipulate or know details of the database contents. The user is guided in the creation of the natural language query by suggested predetermined queries from a template. Natural language is parsed using the template. The approach allows a user's query words to be completed automatically from the template as the user inputs the words. The approach further allows the next suggested parts of the query to be automatically typed from the template ahead of the user's cursor. Other features provide feedback to the user for invalid or irrelevant queries that cannot be parsed, including suggesting complete predetermined queries from the template. The approach helps the user focus the query on exactly what the user seeks to learn from the database without complex, process-intensive parsing.

    Actionable answer card in natural language query

    公开(公告)号:US11086893B2

    公开(公告)日:2021-08-10

    申请号:US15885351

    申请日:2018-01-31

    Abstract: System, method, and computer product embodiments are described for querying a database using natural language queries (NLQ) to produce actionable results in an answer card. The method allows a user to take further action with the answer card by editing the card contents, manipulating the way data is displayed, or querying the answer results for more details of the data. By the method, the user may continue exploration of the data, use the results to collaborate with others, or build a story from the data in a presentation format, such as a dashboard, while maintaining access to the real-time data of the database through the answer card. System and computer product embodiments implement the method.

    ACTIONABLE ANSWER CARD IN NATURAL LANGUAGE QUERY

    公开(公告)号:US20190236195A1

    公开(公告)日:2019-08-01

    申请号:US15885351

    申请日:2018-01-31

    CPC classification number: G06F16/248 G06F16/24573 G06F16/26

    Abstract: System, method, and computer product embodiments are described for querying a database using natural language queries (NLQ) to produce actionable results in an answer card. The method allows a user to take further action with the answer card by editing the card contents, manipulating the way data is displayed, or querying the answer results for more details of the data. By the method, the user may continue exploration of the data, use the results to collaborate with others, or build a story from the data in a presentation format, such as a dashboard, while maintaining access to the real-time data of the database through the answer card. System and computer product embodiments implement the method.

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