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OWL-based Ontology for Secure and Adaptable Ubiquitous Environment

机译:基于猫头鹰的本体,用于安全和适应的无处不在环境

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Computing is moving towards ubiquitous vision where applications have to be context-aware and adapt their behavior without explicit interaction with the user. We claim that Context-Aware Ubiquitous Services Browsers (CAUSB) which utilize the reasoning for classifying the services based on the context and security will become an essential part of these environments. UPnP is an appropriate technology, but still not suitable for ubiquitous vision, in particular CAUSB, since the control point such as a mobile phone or a PDA provides the user with all the services in the surrounding without taking into account the context information, it only relieves him from having the physical contact with the device, and it doesn't support any adaptation. Lots of work has been done for context modeling, however, adaptability and security still remaining among other challenges. Therefore, in this paper, we propose a reusable ubiquitous OWL-based ontology for a smart home. Our ontology is modeled into two levels: a generic core level and a domain specific level. We also propose a novel integration of the context-based adaptation and security policies into that ontology along with the domain and its context knowledge representation.
机译:计算正在朝着普遍存在的视觉迈进,其中应用程序必须是上下文感知并适应他们的行为而不与用户显式交互。我们声称,上下文知识的无处不在的服务浏览器(CANB)利用基于上下文和安全性对服务进行分类的推理将成为这些环境的重要组成部分。 UPnP是一种适当的技术,但仍然不适用于普遍存在的视觉,特别是Mausb,因为手机或PDA等控制点为用户提供周围的所有服务而不考虑上下文信息缓解他与设备的物理接触,它不支持任何适应。然而,对于上下文建模,已经完成了许多工作,适应性和安全仍然存在于其他挑战中。因此,在本文中,我们提出了一种可重复使用的普遍存在的猫头鹰基础物质,用于智能家居。我们的本体论模拟成两个级别:通用核心级别和域特定级别。我们还提出了基于上下文的适应和安全策略的新颖集成,以及该本体以及域及其上下文知识表示。

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