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Sensing, Triggers and Mobile (Meta)Data

机译:传感,触发和移动(元)数据

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摘要

Processing spatio-temporal queries pertaining to the whereabouts of a large number of mobile entities has traditionally been the topic of the Moving Objects Databases (MOD)research. More recently, due to the advances in sensing and communication technologies, part of the Wireless Sensor Networks(WSN) applications have focused on tracking of mobile objects. These two observations are enough of to warrant a "call" for a confluence of two relatively new but established disciplines. However we observe that a research field of its own right and, historically older than both MOD and WSN - traffic/transportation management - can also capitalize on merging the existing experiences for its own information fusion desiderata In this talk, we will overview applications from seemingly disparate domains and identify their commonalities in terms of the spatio-temporal contexts, and we will discuss how a reactive behavior with pro-active consequences can be efficiently used for large-scale management of mobile data and meta-data.
机译:传统上,处理与大量移动实体的下落有关的时空查询一直是“移动对象数据库(MOD)”研究的主题。最近,由于传感和通信技术的进步,无线传感器网络(WSN)应用程序的一部分已经集中在跟踪移动对象上。这两个观察足以保证“呼唤”两个相对较新的但已确立的学科的融合。但是,我们观察到,其自身的研究领域(历史上比MOD和WSN都悠久)(交通/运输管理)也可以利用其自身信息融合需求的现有经验进行融合。在本次演讲中,我们将从表面上概述应用不同的领域,并根据时空上下文确定它们的共性,我们将讨论如何将具有积极后果的反应性行为有效地用于移动数据和元数据的大规模管理。

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