公开(公告)号：US10088981B2

公开(公告)日：2018-10-02

申请号：US14982638

申请日：2015-12-29

Applicant: SAP SE

Inventor： Christina Hall ,  Anja Fehlau ,  Christian Geldmacher ,  Joerg Goeppert ,  Sophie Kraut ,  Bjoern Bader ,  Hergen Siefken ,  Klaus Herter

IPC: G06F3/0482 ,  G06F3/0484 ,  G06F17/22 ,  G06F17/24 ,  G06F17/27 ,  G06Q10/10 ,  G06F9/451

Abstract: A computer-implemented method for communicating and collecting data across multiple applications through a single user engagement application includes displaying multiple applications and a single user engagement application in a single window. Each of the multiple applications includes a user interface and user interface data objects being displayed in the single window. The user engagement application includes a chat user interface and a collection user interface, where the chat user interface displays multiple chat threads and the collection user interface includes multiple collections of saved user interface data objects. The user engagement application is a separate and distinct application from each of the multiple applications. The method includes copying and inserting selected user interface data object into a selected chat thread in the chat user interface and posting the inserted user interface data object to the other users of the selected chat thread.

公开(公告)号：US20170185255A1

公开(公告)日：2017-06-29

申请号：US15362731

申请日：2016-11-28

Applicant: SAP SE

Inventor： Frank Brunswig ,  Swarnava Chatterjee ,  Gayathri D ,  Rachel Ebner ,  Niels Hebling ,  Joerg Goeppert ,  Ioannis Grammatikakis ,  Christina Hall ,  Klaus Herter ,  Steffen Huester ,  Florian Jann ,  Matthias Kruse ,  Hergen Siefken ,  Martin Steiner

IPC: G06F3/0484 ,  G06F17/27 ,  G06F17/24 ,  G06Q10/06

CPC classification number: G06F17/241 ,  G06F17/278 ,  G06Q10/06311

Abstract: A workflow assistant can provide for improved memory aids and workflow management. The workflow assistant can retrieve context information from a base application to facilitate the creation of memory aids and workflow management items. Textual analysis can be applied to user input to determine data elements, data objects, assistant items, and collections that may be relevant to a memory or workflow aid. The workflow assistant can suggest actions for a user to take, such as based on text analysis of user input or the contents of a collection. Technical features such as a context analyzer that retrieves information from the base application for access by the workflow assistant can make the workflow assistant more dynamic and reduce the user interaction needed to create or modify a memory or workflow aid.

公开(公告)号：US20190197185A1

公开(公告)日：2019-06-27

申请号：US15852084

申请日：2017-12-22

Applicant: SAP SE

Inventor： Philip Miseldine ,  Joerg Goeppert ,  Klaus Herter

IPC: G06F17/30 ,  G06N7/00 ,  G06N99/00

CPC classification number: G06F16/3344 ,  G06F16/35 ,  G06N7/005 ,  G06N20/00

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.

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

Inventor： Philip Miseldine ,  Joerg Goeppert ,  Klaus Herter

IPC: G06F16/33 ,  G06F16/35 ,  G06N20/00 ,  G06N7/00

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.