语义数据管理:基于传感器的端口安全用例

A. Fensel, Michael Rogger, T. Gustavi, Andreas Horndahl, Christian Mårtenson
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引用次数: 4

摘要

这项工作是欧盟FP-7项目支持的一部分,描述了通过处理传感器数据来增强端口安全性的系统架构。目标是处理所有类型的大量传感器读数,减少数据流中的噪声,处理异构性,检测模式,融合数据流并提供近乎实时的决策支持。我们定义了一个本体来对端口安全上下文中的传感器和事件域进行建模。本体被用作我们设想的体系结构的公共基础。该体系结构结合了Spark wave(一个模式增强的模式匹配器)和Impactorium(一个决策支持系统)。最后,我们为我们的用例提供了一个评估方法,并总结了正在进行的未来工作。
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Semantic Data Management: Sensor-Based Port Security Use Case
This work is part of the EU FP-7 project Support and describes a system-architecture to enhance port security by processing sensor data. The goal is to process vast amount of sensor readings of all types, reduce the noise in the data stream, cope with heterogeneities, detect patterns, fuse data streams and provide decision support in near real-time. We define an ontology to model the domain of sensors and events in the context of port security. The ontology is used as a common basis for our envisioned architecture. The architecture incorporates Spark wave, a schema-enhanced pattern matcher, and Impactorium, a decision support system. Finally we present an evaluation approach for our use case and conclude with on-going future work.
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