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Hermessem: A semantic-aware framework for the management and analysis of our LifeSteps

机译:Hermessem:用于管理和分析LifeSteps的语义感知框架

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The explosion of available positioning information associated with the inferred or user-declared semantics of the respective locations, already contributes in what is called the big data era, posing new challenges to the mobility data management and mining research community. In this paper, motivated by a series of challenges set in [11], we present a unified framework for the management and the analysis of our LifeSteps, i.e. data objects that include both (raw) trajectories and their semantic counterpart. In particular, we provide solutions for developing real-world semantic-aware Moving Object Database (MOD) and Trajectory Data Warehouse (TDW) systems and we devise respective query processing algorithms. Our experimental study on synthetic data including synchronized raw (i.e., GPS log) and semantic (i.e., diaries) information, verifies the effectiveness and efficiency of the proposed framework.
机译:与相应位置的推断或用户声明的语义相关联的可用定位信息的爆炸式增长已经在所谓的大数据时代做出了贡献,给移动数据管理和采矿研究界提出了新的挑战。在本文中,受[11]中提出的一系列挑战的启发,我们提出了一个用于管理和分析我们的LifeSteps的统一框架,即同时包含(原始)轨迹及其语义对应物的数据对象。特别是,我们提供了开发现实世界中具有语义意识的移动对象数据库(MOD)和轨迹数据仓库(TDW)系统的解决方案,并设计了各自的查询处理算法。我们对包括同步原始(即GPS日志)和语义(即日志)信息的合成数据进行的实验研究,验证了所提出框架的有效性和效率。

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