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Title: A semantic privacy-preserving model for data sharing and integration
Authors: Hu, Yuh-Jong
Contributors: 資科系
Keywords: data sharing;data sharing and integration;database;more tags
Date: 2011-05
Issue Date: 2015-08-19 16:55:12 (UTC+8)
Abstract: In this paper, we encompass and extend previous ontology-based data integration system. A semantic privacy-preserving model provides authorized view-based query answering over a widespread multiple servers for data sharing and integration. The combined semantics-enabled privacy protection policies are used to empower the data integration and access control services at the virtual platform (VP). The ontology mapping and merging algorithm with a local-as-view (LAV) source description that creates a global ontology schema at the VP by integrating multiple local ontology schemas for data sharing. The perfect rules integration of datalog rules enforces the data query and protection services. Semantics-enable policies are combined together at the VP, but the access control criteria specified in each server are still satisfied. Therefore the soundness and completeness of data sharing and protection criteria are ensured to support the validity of policy combination. This guarantees the trustworthiness of data sharing and protection services in multiple servers.
Relation: International Conference on Web Intelligence, Mining and Semantics, 2011
Data Type: conference
DOI 連結:
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