CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Design and Development of Framework for Identifying Errors in Crowdsourced Map Data

by Ramanpreet Kaur, Sukhjit Singh Sehra, Jaiteg Singh, Hardeep Singh Rai
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 143 - Number 7
Year of Publication: 2016
Authors: Ramanpreet Kaur, Sukhjit Singh Sehra, Jaiteg Singh, Hardeep Singh Rai
10.5120/ijca2016910191

Ramanpreet Kaur, Sukhjit Singh Sehra, Jaiteg Singh, Hardeep Singh Rai . Design and Development of Framework for Identifying Errors in Crowdsourced Map Data. International Journal of Computer Applications. 143, 7 ( Jun 2016), 1-7. DOI=10.5120/ijca2016910191

@article{ 10.5120/ijca2016910191,
author = { Ramanpreet Kaur, Sukhjit Singh Sehra, Jaiteg Singh, Hardeep Singh Rai },
title = { Design and Development of Framework for Identifying Errors in Crowdsourced Map Data },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 143 },
number = { 7 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume143/number7/25086-2016910191/ },
doi = { 10.5120/ijca2016910191 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:45:41.125561+05:30
%A Ramanpreet Kaur
%A Sukhjit Singh Sehra
%A Jaiteg Singh
%A Hardeep Singh Rai
%T Design and Development of Framework for Identifying Errors in Crowdsourced Map Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 143
%N 7
%P 1-7
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The development in the quantity of clients and the volume of data in OpenStreetMap (OSM) show the success of Volunteered geographical information(VGI) based task in attracting different types individuals from everywhere throughout the world. A huge quantity of data is produced every day by non-proficient clients and OSM faces the test of guaranteeing information quality. Since contributors have diverse perspectives about items, information integration in OSM might be considered as a type of multi-representation information combination. As due to freely availability of crowdsourced data quantity and quality assurance are two major areas to concern. This work introduces the design and development of a framework for identifying errors in crowdsourced map data, which enables volunteers to edit and tag geospatial and geographic data. Completeness, a quality parameter is used to investigate different types of errors. Initially Web-based framework is established, which includes a set of components to display the geospatial map data, indicators, markers to highlight or identify errors, as the establishment of the labeling framework. Based on this approach a prototype is developed and implemented in experiments. To actually fix the errors on OpenStreetMap, after completing the fix, it is sent back to OpenStreetMap. The result of this approach is to calculate the fixed errors by volunteers and graphically represent the stats of user contributions towards OpenStreetMap.

References
  1. Keep Right - OpenStreetMap Wiki. URL http://wiki. openstreetmap.org/wiki/Keep_Right. [Accessed Mar. 02, 2016].
  2. Thierry Buecheler, Jan Henrik Sieg, Rudolf M. Fchslin, and Rolf Pfeifer. Crowdsourcing, Open Innovation and Collective Intelligence in the Scientific Method-A Research Agenda and Operational Framework. In ALIFE, pages 679–686, 2010.
  3. Daniel Cintra Cugler, Dev Oliver, Michael R. Evans, Shashi Shekhar, and Claudia Bauzer Medeiros. Spatial Big Data: Platforms, Analytics, and Science. GeoJournal, 2013.
  4. Jae-Gil Lee and Minseo Kang. Geospatial big data: challenges and opportunities. Big Data Research, 2(2):74–81, 2015.
  5. Mustafa Neamah Jebur, Zahra Ziaei, Mahyat Shafapour Tehrany, and Abdul Rashid Mohamed Shariff. A review of recent developments in national spatial data infrastructures (NSDI).
  6. GIS Spatial Data Types. URL http://gis.washington. edu/phurvitz/professional/SSI/datatype.html. [Accessed Feb. 11, 2016].
  7. OpenStreetMap - Wikipedia, the free encyclopedia. URL https://en.wikipedia.org/wiki/OpenStreetMap. [Accessed Feb. 16, 2016].
  8. Jamal Jokar Arsanjani, Alexander Zipf, Peter Mooney, and Marco Helbich. An Introduction to OpenStreetMap in Geographic Information Science: Experiences, Research, and Applications. In OpenStreetMap in GIScience, pages 1–15. Springer, 2015.
  9. Peter Smith and Peter Mooney. OSM-CAT: A Java tool for OpenStreetMap Contributor Analysis.
  10. Louai Alarabi, Ahmed Eldawy, Rami Alghamdi, and Mohamed F. Mokbel. TAREEG: a MapReduce-based system for extracting spatial data from OpenStreetMap. In Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 83–92. ACM, 2014.
  11. Mihai Codescu, Daniel Couto Vale, Oliver Kutz, and Till Mossakowski. Ontology-based Route Planning for Open- StreetMap. In Terra Cognita 2012 Workshop, page 62, 2012.
  12. Stats - OpenStreetMap Wiki. URL http://wiki. openstreetmap.org/wiki/Stats. [Accessed Mar. 15, 2016].
  13. Sukhjit Singh Sehra, Jaiteg Singh, and Hardeep Singh Rai. Assessment of OpenStreetMap data-A review. arXiv preprint arXiv:1309.6608, 2013.
  14. Mohammad Forghani and Mahmoud Delavar. A Quality Study of the OpenStreetMap Dataset for Tehran. ISPRS International Journal of Geo-Information, 3(2):750–763, May 2014.
  15. Hanfa Xing, Jun Chen, and Xiaoguang Zhou. A Geoweb- Based Tagging System for Borderlands Data Acquisition. ISPRS International Journal of Geo-Information, 4(3):1530– 1548, August 2015.
  16. Changyong Liu, Lian Xiong, Xiangyun Hu, and Jie Shan. A Progressive Buffering Method for Road Map Update Using OpenStreetMap Data. ISPRS International Journal of Geo- Information, 4(3):1246–1264, July 2015.
  17. Silvana Camboim, Joo Bravo, and Claudia Sluter. An Investigation into the Completeness of, and the Updates to, Open- StreetMap Data in a Heterogeneous Area in Brazil. ISPRS International Journal of Geo-Information, 4(3):1366–1388, August 2015.
  18. Dennis Zielstra, Hartwig Hochmair, Pascal Neis, and Francesco Tonini. Areal Delineation of Home Regions from Contribution and Editing Patterns in OpenStreetMap. ISPRS International Journal of Geo-Information, 3(4):1211–1233, November 2014.
  19. Robert Hecht, Carola Kunze, and Stefan Hahmann. Measuring Completeness of Building Footprints in OpenStreetMap over Space and Time. ISPRS International Journal of Geo- Information, 2(4):1066–1091, November 2013.
  20. OAuth - OpenStreetMap Wiki. URL http://wiki. openstreetmap.org/wiki/OAuth. [Accessed Feb. 17, 2016].
  21. Using geolocation - Web APIs j MDN. URL https://developer.mozilla.org/en-US/docs/ Web/API/Geolocation/Using_geolocation. [Accessed Feb. 15, 2016].
Index Terms

Computer Science
Information Sciences

Keywords

OpenStreetMap Volunteered Geographical Information Crowdsourcing Tags

Powered by PhDFocusTM