Policy Analysis Using a Hybrid Semantic Reasoning Engine

Kris Verlaenen, Bart De Win, W. Joosen
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引用次数: 11

Abstract

Policies enable configuring services by declaratively specifying the (desired) behavior of these services in various, specific circumstances. Different policy languages allow the specification of policies in specific areas such as security, quality of service, functional user preferences, etc. Semantic Web technologies can be used to express the semantics of these policies and the domain they are applied to. In a large, distributed environment, the number of actual policies can quickly become substantial. Moreover, different stakeholders can each describe a set of policies. Such a set may interact with the policies of other actors. Therefore, reasoning about policies has become a necessity, for instance for detecting possible conflicts, inclusion, etc. Semantic Web technologies offer support for reasoning - but this support is insufficient. This paper presents an approach to support enhanced reasoning capabilities by combining the best of two worlds: a solution based on Semantic Web technologies on the one hand, and a general-purpose rule language on the other hand. We illustrate how such a hybrid reasoning system can improve policy management in complex distributed service platforms.
基于混合语义推理引擎的策略分析
策略通过声明性地指定这些服务在各种特定环境中的(期望的)行为来配置服务。不同的策略语言允许在特定领域(如安全性、服务质量、功能性用户首选项等)规范策略。语义Web技术可用于表示这些策略及其应用的领域的语义。在大型分布式环境中,实际策略的数量很快就会变得非常庞大。此外,不同的利益相关者可以各自描述一组策略。这样的集合可能与其他参与者的策略交互。因此,对政策进行推理已成为一种必要,例如检测可能的冲突、包容等。语义Web技术为推理提供了支持——但是这种支持是不够的。本文提出了一种通过结合两个世界的优点来支持增强推理能力的方法:一方面是基于语义Web技术的解决方案,另一方面是通用规则语言。我们说明了这种混合推理系统如何在复杂的分布式服务平台中改善策略管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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