Context Consistency Management Using Ontology Based Model

Context Consistency Management Using Ontology Based Model
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DOI:
10.1007/11896548_56
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发表时间:
2006-03
影响因子:
4.3
通讯作者:
Yingyi Bu;Shaxun Chen;Jun Li;Xianping Tao;Jian Lu
Yingyi Bu;Shaxun Chen;Jun Li;Xianping Tao;Jian Lu
中科院分区:
计算机科学2区
文献类型:
--
作者:
Yingyi Bu;Shaxun Chen;Jun Li;Xianping Tao;Jian Lu

文献摘要

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不一致的上下文是致命的创伤,通常会导致上下文感知应用程序的不协调行为和用户的困惑情绪,因此上下文感知计算的好处将变得不那么被人相信。这个问题出现在大多数基于传感器的应用中,这是由于易出错的物理传感器的固有缺陷,它只能检测现实世界情况的一些证据,而不能检测它们的全局视图。本文对基于本体的上下文建模方法进行了扩展,在上下文中加入了描述性信息,修改了推理器以支持时间信息,引入了上下文生命周期管理策略,建立了上下文开发机制,并提出了一种不一致消解算法,生成了及时、准确、无冲突的上下文。此外,还进行了评估和案例研究,以验证我们的设计原则。
Inconsistent contexts are death-wounds which usually result in context-aware applications’ incongruous behaviors and users’ perplexed feelings, therefore the benefits of context-aware computing will become less believed. This problem occurs in most sensor based applications due to the intrinsic drawbacks of fallible physical sensors which can only detect some evidence of real world’s situations rather than global views of them. In this paper, we extend ontology based context modeling approach with some descriptive information added to contexts, modify reasoners to support time information, bring in a context lifecycle management strategy, establish a context exploitation mechanism, and propose an inconsistency resolution algorithm, fostering timely, exact and conflict-free contexts. Besides, evaluations and a case study are carried out to attest our design principles.