The document describes the Context-ADDICT project, which provides an ontology-driven solution for dynamic data integration from heterogeneous and unknown data sources. It develops a context-aware description logic called CA-DL to uniformly represent the application domain and context. Queries are issued in SPARQL and translated to CA-DL before being distributed to relevant data sources based on the current user context. The system aims to integrate information and reduce noise for users based on their context.