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Controlled query evaluation in description logics through consistent query answering
Artificial Intelligence ( IF 5.1 ) Pub Date : 2024-07-02 , DOI: 10.1016/j.artint.2024.104176 Gianluca Cima , Domenico Lembo , Riccardo Rosati , Domenico Fabio Savo
Artificial Intelligence ( IF 5.1 ) Pub Date : 2024-07-02 , DOI: 10.1016/j.artint.2024.104176 Gianluca Cima , Domenico Lembo , Riccardo Rosati , Domenico Fabio Savo
Controlled Query Evaluation (CQE) is a framework for the protection of confidential data, where a given in terms of logic formulae indicates which information must be kept private. Functions called filter query answering so that no answers are returned that may lead a user to infer data protected by the policy. The preferred censors, called censors, are the ones that conceal only what is necessary, thus maximizing the returned answers. Typically, given a policy over a data or knowledge base, several optimal censors exist.
中文翻译:
通过一致的查询回答控制描述逻辑中的查询评估
受控查询评估(CQE)是一个保护机密数据的框架,其中给定的逻辑公式表明哪些信息必须保密。称为过滤查询应答的功能,以便不会返回可能导致用户推断受策略保护的数据的答案。首选的审查员称为审查员,是那些仅隐藏必要内容的审查员,从而最大化返回的答案。通常,给定针对数据或知识库的策略,存在多个最佳审查器。
更新日期:2024-07-02
中文翻译:
通过一致的查询回答控制描述逻辑中的查询评估
受控查询评估(CQE)是一个保护机密数据的框架,其中给定的逻辑公式表明哪些信息必须保密。称为过滤查询应答的功能,以便不会返回可能导致用户推断受策略保护的数据的答案。首选的审查员称为审查员,是那些仅隐藏必要内容的审查员,从而最大化返回的答案。通常,给定针对数据或知识库的策略,存在多个最佳审查器。