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

摘要

Providing data generally involves 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. A method for transforming a semantically enriched and graph-based data model into a target ontology is suggested. By a first act, 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.