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Emergencia ontológica basada en análisis de contexto, como servicio para ambientes inteligentes

机译:基于上下文分析的本体紧急状态,作为智能环境的服务

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An Intelligent Environment (IE) is composed by intelligent devices that interact with each other in carrying out their task, and they need to understand their contexts to provide adequate services to their users. An IE for Learning in the Cloud (IECL) is one that facilitates the location and use of educational services available in the cloud, which will be made available to users (teachers and students), resulting in an improvement of their teaching-learning process. One of the fundamental aspects for the development of IECLs, it is the contextual awareness. This paper integrates an IECL, based on Multi-Agent Systems, with services of Context Awareness, which enrich the Semantic Model of the IECL, characterized by an ontological knowledge base, which allows the agents of AmICL to take decisions adapted to the context. Particularly, through processes of ontological mining and using meta-ontologies, emerge ontological models appropriate to the context.
机译:智能环境(IE)由智能设备组成,这些智能设备在执行任务时会相互交互,并且他们需要了解其上下文才能为用户提供适当的服务。 IE for the Cloud for Learning(IECL)是一种便于在云中定位和使用可用的教育服务的IE,将向用户(教师和学生)提供IE,从而改善了他们的教学过程。开发IECL的基本方面之一是上下文意识。本文将基于Multi-Agent系统的IECL与上下文感知服务集成在一起,该服务丰富了IECL的语义模型,并具有本体论知识库,可以使AmICL的代理人根据上下文做出决策。特别是,通过本体挖掘和使用元本体的过程,出现了适合于上下文的本体模型。

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