提出新语义让知识图谱查询在保密约束下更高效且安全。
Tractable Query Answering under Epistemic Confidentiality Policies in DL Ontologies (extended version)
- 基于最小策略违反定义新查询语义,兼顾效率与安全。
- 在DL-Lite_R下,数据复杂度为多项式时间可判定。
- 解决旧方法不满足不可区分性的问题,适合实际部署。
研究在描述逻辑本体中,基于认知依赖表达保密策略时的受控查询评估(CQE)。针对布尔型合取查询的联合问题,发现当本体使用DL-Lite_R表示时,传统语义下的CQE通常计算上不可行。此外,近期证明了IGA语义不满足关键的不可区分性保密保护性质。为此,提出基于最小策略违反(MPV)的新语义,既能良好近似原有语义,又保证不可区分性。进一步证明,在DL-Lite_R本体下,该语义的查询蕴含关系可在数据复杂度为多项式时间内判定。最后,实现了一个软件框架,并通过现有的OWL 2 QL基准测试验证了该方法的可行性。
原文摘要 · Abstract (English)
We study Controlled Query Evaluation (CQE), a declarative approach to confidentiality-preserving data access, in the context of Description Logic (DL) ontologies, and for confidentiality policies expressed through Epistemic Dependencies (EDs). We first address the problem of answering queries (specifically, Boolean unions of conjunctive queries) under known semantics for CQE (GA- and IGA-entailment). Our results show that if the TBox is expressed in $\text{DL-Lite}_{\mathcal{R}}$, CQE is computationally intractable in general. Moreover, in the presence of EDs, the IGA semantics has recently been proven not to satisfy an important confidentiality preservation property known as indistinguishability. With the goal of defining computationally easier and confidentiality-preserving forms of CQE, we introduce a new semantics for CQE, based on the notion of minimal policy violation (MPV). We show that the new semantics provides a sound approximation of the previous ones, while satisfying the indistinguishability property. We also prove that, in the case of $\text{DL-Lite}_{\mathcal{R}}$ ontologies, query entailment under the MPV semantics can be decided in polynomial time in data complexity. Finally, we present a software implementation of our framework that we used to evaluate the feasibility of this new approach using an existing benchmark for OWL 2 QL.
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