Abstract
Despite access to emerging technologies for effective data representation and interoperability between different types of data, many enterprises struggle to use the information and knowledge available in manufacturing data to increase the efficiency and quality of their production. This is especially true for knowledge graphs and semantic web technologies. Nevertheless, breaking down the rigid and historical manufacturing data systems and transferring them to knowledge graphs often involves a lot of manual work for cleaning, mapping, and transforming the data. To address this issue, we have developed a methodology to efficiently utilize ISA-95 in knowledge graphs for manufacturing. The methodology is based on two main building blocks. First, we built an ontology based on the ISA-95 standard and extended it with additional semantic concepts. The second building block is an extract, transform, and load pipeline, to allow an efficient mapping of different data formats into the concepts specified by the ontology, and consequently a fast data integration into the knowledge graph. The created knowledge graph serves as basis for efficient management of material flow simulations.
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