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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/69117


    Title: Semantics-enabled Policies for Super-Peer Data Integration and Protection
    Authors: 胡毓忠
    Hu,Yuh-Jong;Wu,Win-Nan;Yang,Jiun-Jan
    Contributors: 資科系
    Date: 2012
    Issue Date: 2014-08-21 12:04:55 (UTC+8)
    Abstract: 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.
    Relation: International Journal of Computer Science and Applications (IJCSA),9(1),23-49
    Data Type: article
    Appears in Collections:[Department of Computer Science ] Periodical Articles

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