Styrian多样性可视化:使用LeanWeb应用程序和数据服务器可视化统计开放数据

K. Andrews, Thomas Traunmüller, Thomas Wolkinger, Eva Goldgruber, Robert Gutounig, Julian Ausserhofer
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引用次数: 1

摘要

统计开放数据通常只以电子表格或CSV文件的形式提供。开放数据应用程序的开发人员必须将自己限制在可管理的小块数据中,这些数据可以一次性使用(读取、解析和保存在内存中),或者必须安装和维护他们自己的数据服务器,应用程序可以根据需要查询。Styrian多样性可视化(德语“Steirische Vielfalt Visualisiert”或SVV)项目演示了使用专用数据服务器(三重存储)来托管大量统计开放数据。SVV web应用程序使用SPARQL查询动态地查询数据服务器,以准确地获得特定时间所需的数据,从而大大简化了其内部逻辑。不需要在内存中解析和存储整个数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Styrian Diversity Visualisation: Visualising Statistical Open Data with a LeanWeb App and Data Server
Statistical open data is usually provided only in the form of spreadsheets or CSV files. The developers of open data apps must either restrict themselves to managable bite-sized chunks of data, which can be consumed (read, parsed, and held in memory) in one go, or must install and maintain their own data server which the app can query on demand. The Styrian Diversity Visualisation (in German "Steirische Vielfalt Visualisiert" or SVV) project demonstrates the use of a dedicated data server (triple store) to host large amounts of statistical open data. The SVV web app queries the data server dynamically using SPARQL queries to obtain exactly the data required at that particular time, greatly simplifying its internal logic. There is no need to parse and store entire data sets in memory.
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