Critical systems require continuous collection and integration of knowledge from the environment. The challenge is effective integration of knowledge in a dynamic environment. This work proposes a knowledge model that is adaptable to changes. However, there is a lack of ontology structure and reasoning that reacts immediately to availability of a new piece of information in real-time. This paper presents a novel ontology design pattern that facilitates automatic integration of knowledge through event detection and context analysis. Theoretical analysis and a use case are used to assess the model. The work claims a contribution towards developing mechanism for ontology pragmatics and addressing challenges of the smart computing. © 2018 IEEE.