TAREEG: A MapReduce-based system for extracting spatial data from OpenStreetMap

Louai Alarabi, Ahmed Eldawy, Rami Alghamdi, Mohamed F. Mokbel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Scopus citations

Abstract

Real spatial data, e.g., detailed road networks, rivers, build- ings, 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 soft- ware 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 na- ture of spatial data. TAREEG employs MapReduce-based techniques to make it efficient and easy to extract Open- StreetMap data in a standard form with minimal effort. Experimental results show that TAREEG is highly accurate and efficient.

Original languageEnglish (US)
Title of host publication22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
EditorsMarkus Schneider, Michael Gertz, Yan Huang, Jagan Sankaranarayanan, John Krumm
PublisherAssociation for Computing Machinery
Pages83-92
Number of pages10
ISBN (Electronic)9781450331319
DOIs
StatePublished - Nov 4 2014
Event22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014 - Dallas, United States
Duration: Nov 4 2014Nov 7 2014

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Volume04-07-November-2014

Other

Other22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
Country/TerritoryUnited States
CityDallas
Period11/4/1411/7/14

Keywords

  • GIS
  • Hadoop
  • MapReduce
  • OpenStreetMap
  • Spatial

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