TY - GEN
T1 - TAREEG
T2 - 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD 2014
AU - Alarabi, Louai
AU - Eldawy, Ahmed
AU - Alghamdi, Rami
AU - Mokbel, Mohamed F.
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - 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 lever-aging 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/
AB - 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 lever-aging 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/
UR - http://www.scopus.com/inward/record.url?scp=84904304955&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904304955&partnerID=8YFLogxK
U2 - 10.1145/2588555.2594528
DO - 10.1145/2588555.2594528
M3 - Conference contribution
AN - SCOPUS:84904304955
SN - 9781450323765
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 897
EP - 900
BT - SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data
PB - Association for Computing Machinery
Y2 - 22 June 2014 through 27 June 2014
ER -
