论文标题
快速合规性检查一般词汇
Fast Compliance Checking with General Vocabularies
论文作者
论文摘要
我们在处理和传输网络上的个人数据时解决了符合GDPR的问题。为此，我们引入了OWL2的可扩展配置文件，以表示数据保护策略。有了这种语言，可以通过包含查询来检查公司的数据使用策略以符合数据主体的同意，并使用GDPR的正式片段进行检查。策略的外部结构受到限制，以便在处理高频数据流或大数据量时根据需要检查高度可扩展性。但是，可以从OWL2的表达角片段中自由选择指定策略属性的词汇。我们利用IBQ的推理来整合政策语言和词汇语言的专业推理者。我们的实验表明，这种方法可显着提高性能。
We address the problem of complying with the GDPR while processing and transferring personal data on the web. For this purpose we introduce an extensible profile of OWL2 for representing data protection policies. With this language, a company's data usage policy can be checked for compliance with data subjects' consent and with a formalized fragment of the GDPR by means of subsumption queries. The outer structure of the policies is restricted in order to make compliance checking highly scalable, as required when processing high-frequency data streams or large data volumes. However, the vocabularies for specifying policy properties can be chosen rather freely from expressive Horn fragments of OWL2. We exploit IBQ reasoning to integrate specialized reasoners for the policy language and the vocabulary's language. Our experiments show that this approach significantly improves performance.
