An Ontology-based Model for Typical-context Awareness in the Oil Products Distribution System
Li jun Sun, Fangfang Li, Xiangpei Hu · Procedia Computer Science · 2016
During the oil products distribution process, disruptions are diverse and can occur at different distribution states and the distribution state changes constantly, which makes it hard to capture the distribution context in real time. In this paper, an ontology-based model is developed, which consists of the disruption ontology, the distribution-state ontology and the SWRL rules. The model can capture the typical-context in real time and judge whether the original distribution plan is disrupted by the disruption under the current context, which is in favor of taking measures to respond to the disruption in real time.