Sap Se

Sap Ag

Florian Hoffmann

Michail Vasiltschenko

Ralph Debusmann

Charles Monte

Christian Lieske

Iuliia Konstantinova

Andre Adam

Michael Seubert

Thilo Kraehmer

Benjamin Schork

Thomas Hammer

Jochen Geib

Matthaeus Martynus

Waldemar Kramer

Philipp Mail

Larissa Heissler

Flavio Baita

Darin Krasle

Disclosed is an improved system for performing intelligent text reduction on text strings for optimal display in a variety of user interface display elements. The system includes a smart text reduction algorithm that can shorten text strings as necessary in response to resizing the user interface or elements therein. The system also includes a design time user interface for application developers (or other users) to design graphical user interfaces in a collaborative workspace. The design time user interface incorporates the smart text reduction algorithm to enable designers to modify user interface display elements and run the text reduction algorithm on any text strings that no longer fit within the modified display elements. The described embodiments can also translate text strings of user interface display elements and can execute the smart text shortening algorithm on the translated text strings accordingly.

Time user interface with intelligent text reduction

Systems and methods are provided herein for multi-pass duplicate identification using sorted neighborhoods. Data comprising a plurality of data records is received. Neighborhood records are generated by merging the plurality of data records with reference records stored in a remote data store. A resource identification field is assigned to each reference record. A pair distance, for each pair of neighborhood records having different resource identification fields, is determined by calculating a standard deviation of distances between each attribute of the pair scaled by a filled pairs quote value. Possible duplicate records are identified by evaluating each pair distance against a threshold, each possible duplicate having grouped attributes. Final duplicate records are identified by matching each group to a key.

Multi-pass duplicate identification using sorted neighborhoods and aggregation techniques

Intelligent text reduction for graphical interface elements

According to some embodiments, an event query to an item supply chain event database is processed such that a trace extraction algorithm will be executed to determine extracted trace data. A plurality of location nodes may then be graphically represented on an interactive user display based on the extracted trace data. Similarly, a plurality of item flow edges connecting location nodes may be graphically represented on the interactive user display based on the extracted trace data. According to some embodiments, a selection from a user is received via the interactive user display, the selection being associated with at least some of the graphically represented information. Responsive to the received selection, the graphical representation may be adjusted in accordance with the extracted trace data.

Systems and methods for supply chain event visualization

A system and method are described herein that provide for visualizing business objects stored in a backend system in database model views for display as nodes in a user interface. Business objects are retrieved from the backend system, with metadata from the business objects being customized and sorted into a plurality of node types. Each business object may be displayed in a user interface as a node along with other nodes generated from the database model views. The nodes represented by the business objects may be connected by edges that provide for an interconnection between each of the nodes. The edges may be customized by providing directional components to the edges to demonstrate the relationship between the displayed nodes.

Social network analyzer

The embodiments may be adapted to accommodate a plurality of translations of a source text string into a limited available display area of a visual element in a graphical interface of a client system. Text strings in a source language may be received as input. A list of one or more languages selected for the text string to be translated into may also be received as input. The system may then be configured to obtain translations of the text string in the selected languages, to provide a set of translation vectors, and to calculate a minimum display area necessary for a visual element to display the longest translation of the translations contained in the translation vector. The display area of the visual element may then be adjusted to encompass the minimum display area so that the longest translation fits within the display area of the visual element.

Translation-based visual design

The present description refers to a method, apparatus and computer-readable storage medium for receiving a date request from a client application if a date description is not a valid date, the date request including the date description and one or more attributes, comparing the date description to a smart date table, identifying one or more dates corresponding to the date description based on the comparing, and returning the one or more dates to the client application.

Smart date selector

Various embodiments of systems and methods for automatic classification of objects in a computer system are described herein. A class decision is received, where the class decision is a classification of an object from a number of objects to a class from a number of classes. The class decision is classification of the object by a role model. An exploration tree is expanded based on the class decision. A decision tree is constructed based on the exploration tree. Objects are classified based on said decision tree.

Automated observational decision tree classifier

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. In some operations, software creates, updates, or otherwise processes information related to an export declaration and/or an export declaration request business object.

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Oftersheim, Germany

Florian Hoffmann