Root cause analysis in IT infrastructures using ontologies and abduction in Markov Logic Networks

Our approach exhibits a high amount of reusability and facilitates modeling by using ontologies as background knowledge. This enables users without specific knowledge of a concrete infrastructure to gain viable insights in the case of an incident. We implemented the method in a tool and illustrate its suitability for root cause analysis by applying it to a sample scenario and testing its scalability on randomly generated infrastructures.