Siemens Aktiengesellschaft

Siemens Aktiengeselschaft

Gustav Pomberger

Norbert Weber

Michael Schrefl

Andreas Bögl

Dieter Kolb

Horst Hörtner

Jan Wieghardt

Andreas Boegl

Mathias Goller

Alexandra Grömer

At least one embodiment of the present invention is directed to a method and/or an apparatus for automatically providing a common modelling pattern as a function of a plurality of stored process models. The common modelling patterns are identified according to three substeps, namely semantic annotation, extraction of pattern based description and composite process pattern mining. The detected common modelling patterns serve as best practice candidates as regards process engineering. At least one embodiment of the present invention finds application in a variety of domains being related to process management, such as process design, process mining and semantic process planning.

Method and an apparatus for automatically providing a common modelling pattern

An apparatus and a method for automated semantic annotation of a process model having model elements named by natural language expressions, wherein said apparatus comprises at least one semantic pattern analyzer which analyses the textual structure of each natural language expression on the basis of predefined semantic pattern descriptions to establish a semantic linkage between each model element to classes and instances of a reference process ontology for generating a semantically annotated process model.

Method and an apparatus for automatic semantic annotation of a process model

A method and an apparatus for automatic extraction of process model comprising model elements named by natural language expressions and annotated with semantic linkages to a reference process ontology are disclosed. The process model is split into partial process models by which an annotated partial process model is created. Process goals are decoupled from each annotated partial and hierarchical process goal tree is generated for each annotated partial process model.

Method and an apparatus for automatic extraction of process goals

The invention relates to an apparatus for clustering process models each consisting of model elements comprising a text phrase which describes in a natural language a process activity according to a process modeling language grammar and a natural language grammar, wherein said apparatus comprises a process object ontology memory for storing a process object ontology, a distance calculation unit for calculating a distance matrix employing said processing modeling language grammar and said natural language grammar, wherein said distance matrix consists of distances each indicating a dissimilarity of a pair of said process models, and a clustering unit which partitions said process models into a set of clusters based on said calculated distance matrix.

Method and an apparatus for clustering process models

According to the invention, navigational information for a vehicle is displayed intuitively and in an easily comprehensible manner in the form of a virtual pilot vehicle, superimposed on an image of the vehicle environment. The display mode and/or position and/or orientation and/or size of the virtual pilot vehicle are determined for example in accordance with the route information, speed, reference points for a recommended route, position and orientation of the vehicle or the camera that records the vehicle environment.

Method and device for displaying navigational information for a vehicle

A method and device is for displaying driving instructions. The aim is to achieve a better consistency between the image recorded of the surrounding terrain by the vehicle camera and presented in the driver's field of vision, and the keyed-in calculated driving instruction. For this purpose, the inclination of the vehicle about its longitudinal axis and lateral axis relative to the road surface as well as the incline of the road or the three-dimensionality of the terrain are taken into consideration when a keyed-in driving instruction from the angle of view of the driver is produced.

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Linz, Austria

Gustav Pomberger