Abstract: In order to overcome the shortcomings of focusing on the user functional requirements and insufficient user privacy protection in Web service, this paper proposes a method based on privacy domain ontology inference to protect user privacy. Firstly, this paper analyzes and describes the privacy domain frame, builds the ontology of privacy domain. Secondly, this paper transforms the user privacy preference into the rules based on SWRL (semantic Web rule language), and reasons on the privacy domain ontology with the inference engine, to examine whether the privacy policy of Web service satisfies user privacy preference or not. The experimental results show that this method can prevent user privacy from illegal disclosure and protect user privacy effectively.

Key words: ontology, privacy domain, semantic Web rule language (SWRL), privacy server, inference

摘要： 针对当前Web服务侧重于满足用户功能性需求，对用户隐私保护考虑不足的问题，提出了一种基于本体推理的保护用户隐私的方法。分析了隐私领域框架体系，构建了一个隐私领域本体。将Web服务中用户的隐私偏好转换成SWRL（semantic Web rule language）规则，并利用推理引擎基于SWRL规则对隐私本体知识库进行推理，推导出隐私策略符合用户隐私偏好的Web服务。通过实验证明了该方法可以防止用户隐私信息的泄露，能够有效地保护用户隐私。

关键词: 本体, 隐私领域, 语义Web规则语言（SWRL）, 隐私服务器, 推理