Abstract: The invention relates to a method and a system for automatic extraction of process goals from a semantically annotated structured process model comprising model elements named by natural language expressions and annotated with semantic linkages to a reference process ontology comprising the steps of: splitting said process model having at least one end event into partial process models provided for each end event of said process model; annotating the model elements of each partial process model with a process goal extracted from said model element; and decoupling of the process goals from each annotated partial process model to generate a hierarchical process goal tree for each annotated partial process model.

Abstract: 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.