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New DL Ontology Semantics Enhance Confidentiality and Tractability

Researchers have introduced a new semantics for Controlled Query Evaluation (CQE) in Description Logic (DL) ontologies, aiming to improve computational tractability and confidentiality preservation. The existing GA- and IGA-entailment semantics for CQE have been found to be computationally intractable for DL-Lite_R ontologies and, in the case of IGA, may not fully satisfy indistinguishability properties. The proposed new semantics, based on minimal policy violation (MPV), offers a sound approximation while ensuring indistinguishability and can be decided in polynomial time for DL-Lite_R ontologies. AI

IMPACT Introduces a more efficient and secure method for handling confidential data within knowledge representation systems.

RANK_REASON The cluster contains a research paper detailing new theoretical contributions to Description Logic ontologies and query evaluation semantics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New DL Ontology Semantics Enhance Confidentiality and Tractability

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The cluster contains a research paper detailing new theoretical contributions to Description Logic ontologies and query evaluation semantics. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Lorenzo Marconi, Daniela Rieti, Riccardo ROsati ·

    Tractable Query Answering under Epistemic Confidentiality Policies in DL Ontologies (extended version)

    arXiv:2607.16715v1 Announce Type: new Abstract: 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 Dependen…