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Object-oriented and ontology context-aware modeling based on XML

机译:基于XML的面向对象和本体上下文感知建模

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In order to solve the problem of providing service to users by using context-aware modeling in pervasive computing, this paper proposes a context-aware modeling method named of object-oriented and ontology modeling based on XML. Firstly, the most used type of context information is summarized and the difference between them is analyzed; secondly, the latest context-aware modeling technique is introduced, as well as their advantages and disadvantages, and then this paper proposes an improved model and software modeling framework; lastly, this improved model is verified by using different sizes of context data and compared with other context-aware modeling experiment, and the experiment result shows that this improved modeling method could provide excellent performance for model-building and query in context-aware system.
机译:为了解决在普适计算中使用上下文感知建模为用户提供服务的问题,提出了一种名为XML的面向对象和本体建模的上下文感知建模方法。首先,总结了最常用的上下文信息类型,并分析了它们之间的区别;其次,介绍了最新的上下文感知建模技术,以及它们的优缺点,然后提出了一种改进的模型和软件建模框架。最后,通过使用不同大小的上下文数据验证了该改进模型,并与其他上下文感知建模实验进行了比较,实验结果表明,该改进的建模方法可以为上下文感知系统中的建模和查询提供出色的性能。

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