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Privacy-Preserving Ontology Publishing for εL Instance Stores

机译:εl实例存储的隐私保留本体出版

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We make a first step towards adapting an existing approach for privacy-preserving publishing of linked data to Description Logic (DL) ontologies. We consider the case where both the knowledge about individuals and the privacy policies are expressed using concepts of the DL εL, which corresponds to the setting where the ontology is an εL instance store. We introduce the notions of compliance of a concept with a policy and of safety of a concept for a policy, and show how optimal compliant (safe) generalizations of a given εL concept can be computed. In addition, we investigate the complexity of the optimality problem.
机译:我们首次迈出了一种旨在调整现有方法,保留将链接数据的隐私保留的发布到描述逻辑(DL)本体。我们考虑使用DLεl的概念表达了对个人和隐私政策的知识,它对应于本体是εl实例存储的设置。我们介绍了一个概念与策略的概念遵守概念的概念,并显示了可以计算给定εl概念的最佳符合(安全)概括的概念。此外,我们研究了最优性问题的复杂性。

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