A Graph-Based Approach for Representing Water Treatment Process Knowledge

The article describes a digital representation of knowledge related to industrial water treatment processes, with an aim of supporting knowledge querying. To this purpose, available industrial knowledge about physical and logical entities and their interrelations and interactions have been reviewed, processed, and organized as a Knowledge Graph. Production, operational and meta information, including targets, and quality/performance criteria have also been represented. Already available water quality data have been connected to nodes of this KG. As a result, the KG can enable the integration of heterogeneous, even unstructured – data from diverse sources (sensors, databases, enterprise resource planning systems (ERPs), etc.), therefore, allowing for holistic knowledge and data searches and querying.