论文标题
智能环境中基于本体的上下文模型
An Ontology-based Context Model in Intelligent Environments
论文作者
论文摘要
如今，计算变得越来越流动和普遍。这些更改表明，应用程序和服务必须意识到并适应其在高度动态的环境中的不断变化的上下文。如今，由于缺乏智能环境中的适当基础架构支持，构建背景感知系统是一项复杂的任务。上下文感知的基础架构需要适当的上下文模型来表示，操纵和访问上下文信息。在本文中，我们提出了一个基于OWL的本体论的正式上下文模型，以解决包括语义上下文表示，上下文推理和知识共享，上下文分类，上下文依赖性和上下文质量的问题。该模型的主要好处是能够推理各种环境。基于我们的上下文模型，我们还提出了一个面向服务的上下文感知中间件（SOCAM）架构，用于构建上下文感知服务。
Computing becomes increasingly mobile and pervasive today; these changes imply that applications and services must be aware of and adapt to their changing contexts in highly dynamic environments. Today, building context-aware systems is a complex task due to lack of an appropriate infrastructure support in intelligent environments. A context-aware infrastructure requires an appropriate context model to represent, manipulate and access context information. In this paper, we propose a formal context model based on ontology using OWL to address issues including semantic context representation, context reasoning and knowledge sharing, context classification, context dependency and quality of context. The main benefit of this model is the ability to reason about various contexts. Based on our context model, we also present a Service-Oriented Context-Aware Middleware (SOCAM) architecture for building of context-aware services.
