Abstract: A computational method for performing a data transformation process for use in Engineering Asset Management on an industrial scale is described, The method and associated integration environment includes a transformation engine or module to map model elements and data items from a first information system, for example a procurement and construction database that records the thousands of individual components used to construct an industrial site, to a second information system. Such as an operation and maintenance database. The method uses a model transformation user interface using hierarchically linked layers to allow users to create, view and modify the transformation specification, as well as element terms and element relationships which define a transformation specification, without having to write the underlying code that performs the transformation.

Abstract: A computational method for performing a data transformation process for use in Engineering Asset Management on an industrial scale is described, The method and associated integration environment includes a transformation engine or module to map model elements and data items from a first information system, for example a procurement and construction database that records the thousands of individual components used to construct an industrial site, to a second information system. Such as an operation and maintenance database. The method uses a model transformation user interface using hierarchically linked layers to allow users to create, view and modify the transformation specification, as well as element terms and element relationships which define a transformation specification, without having to write the underlying code that performs the transformation.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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: 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 analyser 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.