Implementation of a Geographic Information System with Big Data Environment on Common Data Model

被引:0
作者
Sik, David [1 ]
Csorba, Kristof [1 ]
Ekler, Peter [1 ]
机构
[1] Budapest Univ Technol & Econ, Dept Automat & Appl Informat, Budapest, Hungary
来源
2017 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS (COGINFOCOM) | 2017年
关键词
GIS; Geospatial; MapReduce; Big Data; Common Data Model;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We introduce an implementation of a GIS (Geographic Information System) research and development subsystem in the CV4SensorHUB (Computer Vision for SensorHUB) framework. The main concept is the usage and connection of open-access online databases such as OpenStreetMaps, Citybik. es, BKK Futar, MAV Elvira and others. These databases cover different fields in the geographic domain. By connecting these databases with MapReduce paradigm and implementing smart algorithms, we are about to create an online tool where users could parametrize their trips around the town, using the live information and then visualize them on a map. For example, with the OpenStreetMaps it is possible to extract the maps, streets, POIs (point of interest), then with the Citybik. es we can get the live data about public bicycle sharing system, and with the BKK Futar we can access the live public transportation data, vehicles, timetables. In this paper, we focus on the data sources, the architecture with its common data model, and the main implementation steps of the system.
引用
收藏
页码:181 / 184
页数:4
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