One of the challenges of dealing with multiple contexts is the significant effort required to provide all necessary lifting rules so that statements in one context can be viewed and understood in other contexts. In this paper, we introduce the notion of structured contexts, where a lightweight ontology is used to provide a structure for representing contexts. With structured contexts, specialized inference algorithms can be used to significantly reduce the number of lifting rules required. We use a semantic data integration example to illustrate the concept of structured contexts and the benefits of this novel use of lightweight ontology.