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arXiv 1804.00524cs.NI
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背景下的位置数据质量:方向和挑战

Location data quality in context: directions and challenges

Maria Luisa Damiani

摘要:

在过去的十年中,随着移动应用领域的出现,位置信息的重要性发生了根本性的变化。如今,位置数据不仅是地理空间数据库的关键组成部分,也是广泛应用的关键资源,包括基于位置的服务和物联网解决方案。由于定位技术的可用性,这种视角的改变已经成为可能,所述定位技术实时的提供关于移动实体的准确和可靠的位置信息。我们将实时位置称为定位数据。定位数据具有独特的特征,例如对本地化技术和环境背景的强烈依赖,这使得标准质量度量和质量评估程序的规范成为一项复杂的任务。在本文中,我们阐述了这样一个方面,特别是在室内定位数据的重点。

英文摘要:

In the last decade, following the emergence of the mobile applications domain, the significance of location information has changed radically. Nowadays, location data not only is a key component of geospatial databases, but also a critical resource for a broad spectrum of applications, including Location-based Services and IOT solutions. This change of perspective has been made possible by the availability of localization technologies providing accurate and reliable location information on moving entities in real time. We refer to real-time location as positioning data. Positioning data has unique characteristics, such as the strong dependency from both the localization technology and the environmental context, which make the specification of standard quality metrics and quality assessment procedures a complex task. In this paper, we elaborate on such an aspect, focusing in particular on indoor positioning data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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