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A Self-Policing Policy Language

机译:自我监督的政策语言

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Formal policies allow the non-ambiguous definition of situations in which usage of certain entities are allowed, and enable the automatic evaluation whether a situation is compliant. This is useful for example in applications using data provided via standardized interfaces. The low technical barriers of integrating such data sources is in contrast to the manual evaluation of natural language policies as they currently exist. Usage situations can themselves be regulated by policies, which can be restricted by the policy of a used entity. Consider for example the Google Maps API, which requires that applications using the API must be available without a fee, i.e. the application's policy must not require a payment. In this paper we present a policy language that can express such constraints on other policies, i.e. a self-policing policy language. We validate our approach by realizing a use case scenario, using a policy engine developed for our language.
机译:正式策略允许允许某些实体使用的情况下的非模糊定义,并启用自动评估是否符合情况。这对于使用通过标准化接口提供的数据的应用中,例如应用。整合这些数据源的低技术障碍与目前存在的自然语言策略的手动评估相反。使用情况本身可以通过政策监管,这些政策可能受到使用实体的政策的限制。考虑例如Google Maps API,该API要求使用API​​的应用程序,即不需要费用,即应用程序的策略不需要付款。在本文中,我们提出了一种可以在其他政策中表达这种限制的策略语言,即自我监督的政策语言。我们使用为我们的语言开发的策略引擎实现使用案例方案来验证我们的方法。

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