The Inference Problem Research for RDF(S) Repository

Jinrong Xue () and Qiusheng An ()
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Jinrong Xue: Beijing Institute of Technology
Qiusheng An: Shanxi Normal University

A chapter in LISS 2013, 2015, pp 403-414 from Springer

Abstract: Abstract The inference on RDF(S) repository is an emerging topic in the research of database security area to solve the problem of detection and control. In this paper, general entailment rules and extended entailment rules are investigated based on RDF(S) repository firstly. Then an idea of using reasoning closure to judge whether the reasoning leakage is existed and characterize the inference channel is proposed. Aiming at the computation of reasoning closure, the forward link pruning mining algorithm is studied according to the example. Furthermore, the definitions of implication conditions and information measure of triple statements are introduced which achieves data hiding algorithm with combining proposition logic reasoning theory. The experimental results show that our algorithm can control inference attacks effectively on the premise of minimum lost in the semantic information and short channel priority.

Keywords: RDF; Reasoning closure; Reasoning leakage; Information measure; Entailment rule (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_60

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DOI: 10.1007/978-3-642-40660-7_60

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