Sap Se

Joerg Goeppert

Klaus Herter

Christina Hall

Hergen Siefken

Frank Brunswig

Ioannis Grammatikakis

Florian Jann

Rachel Ebner

Philip Miseldine

Niels Hebling

Matthias Kruse

Sophie Kraut

Martin Steiner

Swarnava Chatterjee

Bjoern Bader

Christian Geldmacher

Steffen Huester

Anja Fehlau

Gayathri D

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.

Intelligent natural language query processor

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.

Dynamic workflow assistant with shared application context

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.

User engagement application across user interface applications

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Karlsruhe, Germany

Joerg Goeppert