Unified semantic model of user intentions

    公开(公告)号:US12175263B2

    公开(公告)日:2024-12-24

    申请号:US18462953

    申请日:2023-09-07

    Applicant: SAP SE

    Inventor: Philip Miseldine

    Abstract: The present disclosure involves systems, software, and computer implemented methods for generating a unified semantic model identifying a user's intentions or goals within operating the system. By determining the intent and desires of the user, tasks and queries associated with or requested by the user can be more effectively optimized, automated, or otherwise improved. In some computing environments, multiple users access a database which includes a collection of software objects. The objects within the database can sometimes form a hierarchy, with a parent-child relationship among them. Traditionally, a developer creating the database and the objects within can only determine a user's intent based on the actions taken by the user within the database. The present solution provides the developer with a higher level model representing different users' intents based on observed data from a number of sources in addition to the user's interaction with the database.

    UNIFIED SEMANTIC MODEL OF USER INTENTIONS

    公开(公告)号:US20220164194A1

    公开(公告)日:2022-05-26

    申请号:US17100472

    申请日:2020-11-20

    Applicant: SAP SE

    Inventor: Philip Miseldine

    Abstract: The present disclosure involves systems, software, and computer implemented methods for generating a unified semantic model identifying a user's intentions or goals within operating the system. By determining the intent and desires of the user, tasks and queries associated with or requested by the user can be more effectively optimized, automated, or otherwise improved. In some computing environments, multiple users access a database which includes a collection of software objects. The objects within the database can sometimes form a hierarchy, with a parent-child relationship among them. Traditionally, a developer creating the database and the objects within can only determine a user's intent based on the actions taken by the user within the database. The present solution provides the developer with a higher level model representing different users' intents based on observed data from a number of sources in addition to the user's interaction with the database.

    Intelligent natural language query processor

    公开(公告)号:US10853396B2

    公开(公告)日:2020-12-01

    申请号:US15852084

    申请日:2017-12-22

    Applicant: SAP SE

    Abstract: A system for answering a natural language query (NLQ) directed to a database system. The system includes a query receiver receives the NLQ and models the NLQ as a tuple of entities including at least a subject entity and an intention entity. The system further includes a service discovery component and a query transformation unit. The service discovery component discovers a specific database system asset for answering the NLQ by evaluating system model descriptions of database system assets against the NLQ. The query transformation unit transforms the NLQ into a native service call for the specific database system asset, and invokes the native service call for callback of the specific database system asset to answer the NLQ.

    TWO-STEP GESTURE RECOGNITION FOR FINE-GRAIN CONTROL OF WEARABLE APPLICATIONS

    公开(公告)号:US20170177088A1

    公开(公告)日:2017-06-22

    申请号:US14976464

    申请日:2015-12-21

    Applicant: SAP SE

    Inventor: Philip Miseldine

    Abstract: The present disclosure provides methods, devices, systems, and computer program products for providing fine-grain gesture-based control of wearable applications. Methods are provided for multi-step gesture-based control systems of wearable applications with an initial, easy to recognize gesture being used to place the device in a state that subtle gestures can be identified that can control navigation and interactivity on the device that rely on the user being able to view the device. Systems and methods are provided for utilizing data obtained from sensor(s) to determine a gesture to place a wearable device in a state of fine-grain gesture-based control.

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