A METHOD FOR TRANSFORMING A DATA MODEL FOR AUTOMATION PURPOSES INTO A TARGET ONTOLOGY

摘要

Embodiments for providing data as described herein generally involve a transformation of an OPC UA data model into an ontology. Such an ontology readily provides desired capabilities for validation, querying and analytics of the OPC UA data model using sophisticated standard tools adapted to the ontology. In one embodiment a method for transforming a semantically enriched and graph-based data model, particularly a OPC UA data model, into a target ontology is suggested. By a first step, identifications of nodes are retrieved of the data model. Subsequently or concurrently, semantic descriptions of one or more references interconnecting one or more nodes are retrieved. These semantic descriptions are expressed by at least one or more predicates and one or more concepts (e.g., classes) in the target ontology to be produced. Eventually, the target ontology is structured by a semantic ontology language and output to a triple store.