Currently, a large amount of spatial and spatiotemporal RDF data has been shared and exchanged on the Internet and various applications. Resource Description Framework (RDF) is widely accepted for representing and processing data in different (including spatiotemporal) application domains. The effective management of spatial and spatiotemporal RDF data are becoming more and more important. A lot of work has been done to study how to represent, query, store, and manage spatial and spatiotemporal RDF data. In order to grasp and learn the main ideas and research results of spatial and spatiotemporal RDF data, in this paper, we provide a comprehensive overview of RDF for spatial and spatiotemporal data management. We summarize spatial and spatiotemporal RDF data management from several essential aspects such as representation, querying, storage, performance assessment, datasets, and management tools. In addition, the direction of future research and some comparisons and analysis are also discussed in depth.

中文翻译：

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用于空间和时空数据管理的 RDF 全面概述

目前，大量的时空RDF数据已经在Internet和各种应用程序上共享和交换。资源描述框架 (RDF) 被广泛接受用于表示和处理不同（包括时空）应用程序域中的数据。时空RDF数据的有效管理变得越来越重要。已经做了大量工作来研究如何表示、查询、存储和管理空间和时空 RDF 数据。为了掌握和学习时空RDF数据的主要思想和研究成果，在本文中，我们对时空数据管理的RDF进行了全面的概述。我们从表示、查询、存储、绩效评估、数据集和管理工具。此外，还对未来的研究方向和一些比较分析进行了深入探讨。