Technology and the economy — the key relationships

Abstract

In the process industry, a large number of multi-source heterogeneous data are generated. Ontology combined with resource description framework (RDF) is a great way to describe multi-source heterogeneous data. Due to the characteristics of free extension, no model limitations and few constraints in the calculation process, semantic data have been increasingly used in industrial systems. However, semantic data have not been fully utilized to realize automatic modeling. Lots of time and experience from knowledge workers is still required in the feedstock scheduling. Therefore, this article presents a method of constructing the RDF triple graph data based on the discrete event system specification ontology. Based on the advantage of graph data, the procedure of superstructure generation is greatly simplified by the proposed RDFMSG (maximal structure generation based on resource description framework data) algorithm. In the RDFMSG algorithm, the original structure is no longer pruned and then reorganized; the superstructure can be generated by the traversing RDF data set only once. The effectiveness and efficiency of the proposed methodology are verified through three cases. In addition, the representation of the discrete event system specification ontology can achieve good performance. Furthermore, the combination explosion caused by set operation can be greatly reduced, indicating that the strategy of the RDFMSG plays an important role in the solution structure generation algorithm and the accelerated branch and bound algorithm.