Understanding the process topology is essential for many process-systems engineering activities. Previous works in this area have explored the extraction of connectivity and causality knowledge (plant topology) from different sources of engineering data by following qualitative and quantitative methods. A few works, however, have focused on how to integrate, store, and visualize models that can represent the interactions among the different items in a chemical plant. This paper proposes a method for integration, navigation and exploration of topology based on property-graphs, which can support the study of disturbance propagation in chemical plants.