skip to main content
10.1145/2588555.2594528acmconferencesArticle/Chapter ViewAbstractPublication PagesmodConference Proceedingsconference-collections
demonstration

TAREEG: a MapReduce-based web service for extracting spatial data from OpenStreetMap

Published:18 June 2014Publication History

ABSTRACT

Real spatial data, e.g., detailed road networks, rivers, buildings, parks, are not really available in most of the world. This hinders the practicality of many research ideas that need a real spatial data for testing 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 demo 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 dataset; 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. TAREEG is accessible via {http://www.tareeg.org/}

References

  1. Apache. Pig http://pig.apache.org/, June 2013.Google ScholarGoogle Scholar
  2. A. Eldawy and M. F. Mokbel. A demonstration of spatialhadoop: An efficient mapreduce framework for spatial data. PVLDB, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. geofabrik. http://download.geofabrik.de/, Dec. 2013.Google ScholarGoogle Scholar
  4. S. Luo, Y. Luo, S. Zhou, G. Cong, and J. Guan. DISKs: a system for distributed spatial group keyword search on road networks. 5(12):1966--1969, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. P. Mooney and P. Corcoran. Characteristics of heavily edited objects in openstreetmap. Future Internet, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  6. OSM. http://www.openstreetmap.org, Dec. 2013.Google ScholarGoogle Scholar
  7. osm2pgsql. Benchmarks jun 2012 http://wiki.openstreetmap.org/wiki/Osm2pgsql/benchmarks.Google ScholarGoogle Scholar
  8. Osmosis. 2013 http://wiki.openstreetmap.org/wiki/Osmosis.Google ScholarGoogle Scholar
  9. J. R. Thomsen, M. L. Yiu, and C. S. Jensen. Effective caching of shortest paths for location-based services. SIGMOD, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. A. D. Zhu, H. Ma, X. Xiao, S. Luo, Y. Tang, and S. Zhou. Shortest path and distance queries on road networks: towards bridging theory and practice. SIGMOD, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. TAREEG: a MapReduce-based web service for extracting spatial data from OpenStreetMap

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SIGMOD '14: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data
        June 2014
        1645 pages
        ISBN:9781450323765
        DOI:10.1145/2588555

        Copyright © 2014 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 18 June 2014

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • demonstration

        Acceptance Rates

        SIGMOD '14 Paper Acceptance Rate107of421submissions,25%Overall Acceptance Rate785of4,003submissions,20%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader