Ontology Change Estimation Based on Axiomatic Semantic and Entropy Measure

Ontology is by definition explicit and shared conceptualization of a domain, its life cycle is then marked by sequences of change operations in order to adapt changes in the renewal of the domain. Each operation leading to a state of inconsistency on a target component is therefore susceptible to change the status of other components and therefore the state of the ontology at the macroscopic level through the effect of disorder induced on components as a tendency to the disorganization of the ontological system also called entropy. In this paper, by using an approach combining entropy measure of Shannon and previous work on ontology change operations satisfiability, we propose a methodology for measuring entropy issued from a change operation. The essential issue is how to measure the average information provided by the knowledge of the state of a component after change operation resulting in change impacts on the overall consistency of the ontology.