Extending from the previous semantic privacy-preserving model, we propose a widescale super-peer data integration and protection architecture. Any user from a superpeer domain can contribute new data, schema, or even mappings for other super-peer domains to integrate the information. Each super-peer domain is essentially a mediatorbased data integration system, where an agent at the super-peer performs semantic local mappings to manage a set of its local peers endowed with shareable relational data sources. Semantic global mappings are also possible from the current super-peer to interlink with other super-peers located in their super-peer domains. A super-peer is the only place, at the virtual platform (VP), where an agent can empower the data integration and access control services for a super-peer domain. Through the semanticsenabled privacy protection policies, authorized view-based queries posed to a super-peer can enable the data integration without losing a user’s privacy. The ontology mapping and merging algorithm with a local-as-view (LAV) source description that creates a global ontology schema in a super-peer by integrating multiple local ontology schemas for data integration. The perfect rules integration of datalog rules enforces the data query and protection services. Finally, using a global-local-as-view (GLAV) for global semantic mappings among super-peers, we have a greater flexibility of data integration and protection in the super-peer architecture.
International Journal of Computer Science and Applications (IJCSA),9(1),23-49