节点文献
普适计算环境下上下文信息推理的研究
Research on context reasoning in pervasive computing environments
【摘要】 从各种低层上下文信息得到对人们更加有用的高层上下文信息即上下文推理是当前研究的热点。针对该问题,采用描述逻辑,研究基于本体模型的上下文推理方法。首先简要介绍基于本体的上下文模型,该模型增加了对上下文特性的建模,然后分别研究基于本体的推理、基于规则的推理及不一致性验证3种推理方式,借助Jena框架的推理接口实现,推理功能全面,通用性强,基本满足了普适计算系统中上下文推理的需求,最后给出了推理的可用性。
【Abstract】 How to get upper context information from various low context information as context reasoning becomes a hotspot.Aimed to this problem,the ontology-based context reasoning with the description logic is researched,firstly the ontology context model including the character model of the context is introduced,then ontological reasoning,rule-based reasoning and verifying conflicts is researched,and implemented with Jena,it’s comprehensive,universal and can better meet the application’s needs.At last the availability of the reasoning is verified.
【Key words】 pervasive computing; context-aware computing; ontology model; context reasoning; universal;
- 【文献出处】 计算机工程与设计 ,Computer Engineering and Design , 编辑部邮箱 ,2009年14期
- 【分类号】TP391.1
- 【被引频次】6
- 【下载频次】341