文章基本信息

标题：The Application of SWRL Based Ontology Inference for Privacy Protection
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作者：Ge, Qiang ; Shen, Guohua ; Huang, Zhiqiu 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2014
卷号：9
期号：5
页码：1217-1222
DOI：10.4304/jsw.9.5.1217-1222
语种：English
出版社：Academy Publisher
摘要：The phenomena of illegal disclosure of user privacy has become more serious considerably in the last years. How to protect user privacy and prevent user privacy from illegal disclosure has become of great interest to researchers. In this paper, we propose an approach of user privacy protection based on ontology inference. We create privacy ontology through detailed analysis of privacy domain. Then, we reason the privacy ontology with Semantic Web Rule Language (SWRL) rule of user privacy preference. By creating ontology and SWRL rules, then reasoning logically, we can find adequate service whose privacy policy coincides with user privacy preference and protect user privacy effectively. The result of experiment shows that the approach proposed in this paper is feasible and effective.
关键词：ontology inference;semantic web rule language (SWRL);rules;reasoning