RFID-based logistics monitoring with semantics-driven event processing

M. Rinne, M. Solanki, Esko Nuutila
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引用次数: 13

Abstract

In this paper a real-life counterfeit and theft detection scenario from pharmaceutical manufacturing is modelled using events encoded as XML and RDF. With Esper and Instans event processing platforms, the second one from the semantic web domain, the same task is configured and an experimental performance evaluation is carried out. Our results show that even though the starting points are very different, the same core task can be accomplished on both platforms. We provide quantitative performance comparisons that corroborate our analysis. For an understanding of what can be expected from each framework outside the core task, the differences between the two tools and their respective domains are qualitatively analysed.
具有语义驱动事件处理的基于rfid的物流监控
在本文中,使用编码为XML和RDF的事件对制药生产中的真实假冒和盗窃检测场景进行建模。在Esper和Instans事件处理平台(第二种来自语义web领域的事件处理平台)上配置相同的任务并进行了实验性能评估。我们的研究结果表明,尽管起点非常不同,但相同的核心任务可以在两个平台上完成。我们提供了量化的性能比较来证实我们的分析。为了理解核心任务之外的每个框架的期望,我们定性地分析了这两个工具及其各自领域之间的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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