Using LOD and Fuzzy Ontology to Annotate Industrial Schemas

Human use texts, images, tables and schemas to present their data, which is difficult for the machine to understand. In the industrial domain, using schemas to present the information is more useful to describe the structure of the components and the mechanism of work. The semantic annotation technology aims at making data understandable by machines. The literature focused on annotating all data types but not schemas. In this paper, we propose an automatic process to annotate industrial schemas, using both of a fuzzy ontology that describes vague knowledge in the industrial domain and Linked Open Data (LOD) as a semantic reference. The schemas have been represented in an XML file. We use the LOD and Bohring rules [1] to link XML elements with the fuzzy ontology elements. At the end, we represent the annotation in a classic/fuzzy RDF file, which is needed in industrial control systems and maintenance systems. An online environment is used to evaluate the file structure.