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CONSTAnT - A Conceptual Data Model for Semantic Trajectories of Moving Objects

机译：CONSTAnT-运动对象语义轨迹的概念数据模型

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摘要

Several works have been proposed in the last few years for raw trajectory data analysis, and some attempts have been made to define trajectories from a more semantic point of view. Semantic trajectory data analysis has received significant attention recently, but the formal definition of semantic trajectory, the set of aspects that should be considered to semantically enrich trajectories and a conceptual data model integrating these aspects from a broad sense is still missing. This article presents a semantic trajectory conceptual data model named CONSTAnT, which defines the most important aspects of semantic trajectories. We believe that this model will be the foundation for the design of semantic trajectory databases, where several aspects that make a trajectory "semantic" are taken into account. The proposed model includes the concepts of semantic subtrajectory, semantic points, geographical places, events, goals, environment and behavior, to create a general concept of semantic trajectory. The proposed model is the result of several years of work by the authors in an effort to add more semantics to raw trajectory data for real applications. Two application examples and different queries show the flexibility of the model for different domains.
机译：在过去的几年中，已经提出了一些用于原始轨迹数据分析的工作，并且已经进行了一些尝试来从更语义的角度定义轨迹。语义轨迹数据分析近来受到了广泛的关注，但是仍然缺少语义轨迹的正式定义，应在语义上丰富轨迹的方面应考虑的方面以及从广义上整合这些方面的概念数据模型。本文介绍了一个名为CONSTAnT的语义轨迹概念数据模型，该模型定义了语义轨迹的最重要方面。我们相信，该模型将成为语义轨迹数据库设计的基础，其中考虑了构成轨迹“语义”的几个方面。所提出的模型包括语义子轨迹，语义点，地理位置，事件，目标，环境和行为的概念，以创建语义轨迹的一般概念。提出的模型是作者多年努力的结果，旨在为实际应用向原始轨迹数据添加更多语义。两个应用示例和不同的查询显示了该模型在不同领域的灵活性。

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