Minimizing influence of ontology evolution in ontology-based data access system

Nowadays, many organizations face the problem of how to accessing the legacy data by means of flexible mechanism. As a powerful and efficient solution to this problem, ontology-based data access (OBDA) technology enables people to utilize data from heterogeneous sources through a well-defined ontology. However, under the dynamic environment, the ontology which acts as concept view in an OBDA application may be changed and modified to meet users´ needs. Furthermore, the changes occurred during ontology evolution process may be propagated across the whole system. In order to minimize the influence of ontology evolution in OBDA system, we present a solution to control the impact of change propagation from ontology evolution, namely ICOE method. The experiment illustrate that this method is helpful in managing an OBDA system.