TAREEG: a MapReduce-based system for extracting spatial data from OpenStreetMap
TAREEG: a MapReduce-based system for extracting spatial data from OpenStreetMap
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DOI：
10.1145/2666310.2666403
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发表时间：
2014-11
期刊：
影响因子：
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通讯作者：
Louai Alarabi;Ahmed Eldawy;Rami Alghamdi;M. Mokbel
中科院分区：
文献类型：
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作者：
Louai Alarabi;Ahmed Eldawy;Rami Alghamdi;M. Mokbel
对于世界上大多数人来说，真实的空间数据（例如详细的道路网络、河流、建筑物、公园）并不容易获得。这阻碍了许多需要真实空间数据进行测试和实验的研究想法的实用性。此类数据通常可供政府或主要软件公司使用，但为学术界或个人研究人员构建或购买的成本却高得令人望而却步。本文介绍了 TAREEG；一种网络服务，使每个研究人员或个人都可以轻松获得来自世界任何地方的真实空间数据。 TAREEG利用OpenStreetMap数据集的丰富性获取其所有数据；世界上最全面的可用空间数据。然而，由于空间数据的大小限制、特殊数据格式和噪声性质，获取 OpenStreetMap 数据仍然具有挑战性。 TAREEG 采用基于 MapReduce 的技术，可以轻松、高效、轻松地以标准形式提取 OpenStreetMap 数据。实验结果表明，TAREEG具有较高的准确性和效率。
Real spatial data, e.g., detailed road networks, rivers, buildings, parks, are not easily available for most of the world. This hinders the practicality of many research ideas that need a real spatial data for testing and experiments. Such data is often available for governmental use, or at major software companies, but it is prohibitively expensive to build or buy for academia or individual researchers. This paper presents TAREEG; a web-service that makes real spatial data, from anywhere in the world, available at the fingertips of every researcher or individual. TAREEG gets all its data by leveraging the richness of OpenStreetMap data set; the most comprehensive available spatial data of the world. Yet, it is still challenging to obtain OpenStreetMap data due to the size limitations, special data format, and the noisy nature of spatial data. TAREEG employs MapReduce-based techniques to make it efficient and easy to extract OpenStreetMap data in a standard form with minimal effort. Experimental results show that TAREEG is highly accurate and efficient.