Internet of things structured query language query formation

    公开(公告)号:US10540410B2

    公开(公告)日:2020-01-21

    申请号:US15880350

    申请日:2018-01-25

    Applicant: SAP SE

    Abstract: In an example, one or more tokens in a freeform search query are identified, each token corresponding to a search term or combination of neighboring search terms in the freeform search query. A graph structure and flat data corresponding to the graph structure are obtained. A search for results relevant to the identified one or more tokens is performed using a first search process, the first search process using the graph structure and flat data to rank search results according to a first ranking order and populate a why found table. Pieces of data corresponding to the results relevant to the identified one or more tokens are joined using the why found table, forming a view and one or more patterns of operators and terms, in a pattern database, matching the one or more operators and one or more surrounding terms in the freeform search query are found.

    INTERNET OF THINGS STRUCTURED QUERY LANGUAGE QUERY FORMATION

    公开(公告)号:US20190147107A1

    公开(公告)日:2019-05-16

    申请号:US15880350

    申请日:2018-01-25

    Applicant: SAP SE

    Abstract: In an example, one or more tokens in a freeform search query are identified, each token corresponding to a search term or combination of neighboring search terms in the freeform search query. A graph structure and flat data corresponding to the graph structure are obtained. A search for results relevant to the identified one or more tokens is performed using a first search process, the first search process using the graph structure and flat data to rank search results according to a first ranking order and populate a why found table Pieces of data corresponding to the results relevant to the identified one or more tokens are joined using the why found table, forming a view and one or more patterns of operators and terms, in a pattern database, matching the one or more operators and one or more surrounding terms in the freeform search query are found.

    DECOUPLED ARCHITECTURE FOR QUERY RESPONSE GENERATION

    公开(公告)号:US20180157727A1

    公开(公告)日:2018-06-07

    申请号:US15459385

    申请日:2017-03-15

    Applicant: SAP SE

    Abstract: Systems and methods are provided for receiving a plurality of queries from plurality of channels via a plurality of computing devices For each query of the plurality of queries systems and methods are provided for determining a use case associated with the query from a plurality of predetermined use cases, determining transformation rules for data associated with the use case, accessing data from at least one data source of a plurality of data sources to generate response data for a response to the query, the plurality of data sources comprising the data in a plurality of different data formats, transforming the data associated with the use case from at least a first format into a uniform data structure comprising the response data using the transformation rules for the response data, and providing the response data in the uniform data structure

    DIGITAL ASSISTANT QUERY INTENT RECOMMENDATION GENERATION

    公开(公告)号:US20180157721A1

    公开(公告)日:2018-06-07

    申请号:US15459342

    申请日:2017-03-15

    Applicant: SAP SE

    Abstract: Systems and methods are provided for digital assistant configuration and functionality. For example, systems and methods provide for receiving a query from a user via a computing device, processing language in the query to identify a plurality of elements associated with the query, and analyzing the plurality of elements associated with the query to determine an intent of the query by mapping the plurality of elements associated with the query to a list of predetermined intents by comparing the plurality of elements associated with the query to each intent in the list of predetermined intents to generate a score for each intent in the list of predetermined intents. Systems and methods further provide for determining a subset of the predetermined intents based on the score for each intent in the list of predetermined intents, and providing recommendations related to the query based on the subset of predetermined intents.

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