Sap Se

Sap Ag

Joachim Fiess

Christian Grail

Klaus Herter

Hans-Juergen Richstein

Manfred Johann Pauli

Judith Schneider

Gisbert Loff

Tatjana Borovikov

Hanswerner Dreissigacker

Ian Robert Taylor

Guido Wagner

Andreas Huber-Buschbeck

Thomas Roesch

Malin Elisabeth Wittkopf

Ingo Rues

Eugen Hermann

Johanna Wittig

Igor Becker

Fahmi Cheikhrouhou

Gerlinde Graewe

Marita Kruempelmann

Christina Hall

Hergen Siefken

Hee Tatt Ooi

Anca Maria Florescu

Felix Harling

Christian Knirsch

Bogdan Alexander

Denise Nepraunig

Jozsef Murvai

Zoltan Biro

Disclosed herein are system, method, and device embodiments for implementing semantic discovery. An embodiment operates by retrieving a plurality of entities from a database instance. A semantic graph representation of the plurality of entities is generated within a graphical user interface. Context information is received from a user. A focus node is determined from the plurality of nodes using the context information. A semantic context of the focus node is determined, wherein the semantic context includes the focus node, a subset of the plurality of nodes, and subset of the plurality of edges. Responsive to the receiving, a visual indication of the semantic context is displayed within the graphical user interface.

Semantic discovery

Display system or portion thereof with a virtual three-dimensional animated graphical user interface

Rendering multi-dimensional data in a polyhedron, such as a cube, in a 3D environment allows for the ease of visualization of, and interaction with, the underlying data. The approaches herein allow for 3D manipulation of records within the underlying data by filtering the records across elements of a particular dimension. These records may be filtered by physically grabbing a 'drawer'&#x2014;a slice of data within the polyhedron&#x2014;and removing the drawer to a separate space. That drawer then represents all of the underlying records filtered by that slice, and can be further manipulated by additional filtering, or by merging multiple drawers together.

3D data exploration using interactive cuboids

Disclosed herein are system, method, and computer program product embodiments for determining an object of interest in an augmented reality environment, displaying an augmented reality selector containing pertinent actions in a reachable area, and causing a selected action to be executed. The augmented reality application may determine an augmented reality object of interest in an augmented reality experience and determine a reachable area of screen from the determined object to a reachable area. The augmented reality application may then display an augmented reality selector in the reachable area that includes interaction options determined based on the augmented reality object being focused on. In a mobile embodiment, this enhancement allows users to interact with the object without repositioning their hands or losing site of the object in the augmented reality experience. For an AR headset, by displaying the augmented reality selector in a reachable area, a user's field of vision remains unimpeded, and the user may interact with the object via simple gestures such as clicks.

Smart augmented reality selector

Disclosed herein are system, method, and computer program product embodiments for generating and adjusting multi-dimensional data visualizations. An embodiment operates by a computer implemented method that includes evaluating, by at least one processor, data to be displayed on a multi-dimensional data visualization and information associated with the multi-dimensional data visualization. The method further includes determining one or more parameters for the multi-dimensional data visualization based on the evaluated data and the evaluated information. The method further includes generating the multi-dimensional data visualization based on the determined one or more parameters, where the multi-dimensional data visualization comprises at least four dimensions. The method also includes graphically displaying the multi-dimensional data visualization.

Multi-dimensional data visualization

A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. Specifically, example business objects include DemandPlanningScenario, DemandPlanningScenarioTemplate, and DemandPlanningView.

Managing consistent interfaces for demand planning business objects across heterogeneous systems

A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. Specifically, example business objects include DemandPlan, DemandPlanningCharacteristicValueCombination, and DemandViewOfPromotion.

Managing consistent interfaces for demand business objects across heterogeneous systems

Growing community of inventors

Karlsruhe, Germany

Joachim Fiess