demonstration

Jeocrowd: collaborative searching of user-generated point datasets

Authors:

George Lamprianidis,

Dieter PfoserAuthors Info & Claims

GIS '11: Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Pages 509 - 512

https://doi.org/10.1145/2093973.2094061

Published: 01 November 2011 Publication History

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Abstract

Geospatial data has become an important resource in today's Web applications not only as type of content, but also as metadata. Despite its undisputed usefulness, issues need to be addressed with respect to the availability, the accuracy, and the cost of the data. The advent of Web2.0 created several creative-commons initiatives addressing geospatial dataset creation and countless (mobile) applications have been producing large amounts of point cloud datasets. In this work, we demonstrate how to query user-contributed point-cloud data using a collaborative Web-based approach.

References

[1]

A. Cope. The Shape of Alpha. Where 2.0 conf. presentation, http://where2conf.com/where2009/public/schedule/detail/7212, 2009.

Google Scholar

[2]

J. Dean and S. Ghemawat. Mapreduce: simplified data processing on large clusters. In Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6, pages 10--10, Berkeley, CA, USA, 2004. USENIX Association.

Digital Library

Google Scholar

[3]

S. Intagorn and K. Lerman. Harvesting geospatial knowledge from social metadata. Knowledge Creation Diffusion Utilization, (May):1--10, 2010.

Google Scholar

[4]

T. Rattenbury and M. Naaman. Methods for extracting place semantics from flickr tags. ACM Trans. Web, 3:1:1--1:30, January 2009.

Digital Library

Google Scholar

[5]

W. Wang, J. Yang, and R. R. Muntz. Sting: A statistical information grid approach to spatial data mining. In Proceedings of the 23rd International Conference on Very Large Data Bases, VLDB '97, pages 186--195, San Francisco, CA, USA, 1997. Morgan Kaufmann Publishers Inc.

Digital Library

Google Scholar

Cited By

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Lamprianidis GPfoser DCruz IKnoblock CKröger PTanin EWidmayer P(2012)Collaborative geospatial feature searchProceedings of the 20th International Conference on Advances in Geographic Information Systems10.1145/2424321.2424344(169-178)Online publication date: 6-Nov-2012
https://dl.acm.org/doi/10.1145/2424321.2424344
IMIS research team (2012)Institute for the management of information systems Athena research centerACM SIGMOD Record10.1145/2206869.220688141:1(61-66)Online publication date: 25-Apr-2012
https://dl.acm.org/doi/10.1145/2206869.2206881

Index Terms

Jeocrowd: collaborative searching of user-generated point datasets
1. Information systems
  1. Information systems applications
    1. Data mining

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Information & Contributors

Information

Published In

GIS '11: Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2011

559 pages

ISBN:9781450310314

DOI:10.1145/2093973

Editors:
Divyakant Agrawal
University of California at Santa Barbara
,
Isabel Cruz
University of Illinois at Chicago
,
Christian S. Jensen
Aarhus University, Denmark
,
Eyal Ofek
Microsoft, USA
,
Egemen Tanin
University of Melbourne, Australia

In-Cooperation

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2011

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Demonstration

Funding Sources

Seventh Framework Programme

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GIS '11

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SIGSPATIAL

GIS '11: 19th SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 1 - 4, 2011

Illinois, Chicago

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Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Lamprianidis GPfoser DCruz IKnoblock CKröger PTanin EWidmayer P(2012)Collaborative geospatial feature searchProceedings of the 20th International Conference on Advances in Geographic Information Systems10.1145/2424321.2424344(169-178)Online publication date: 6-Nov-2012
https://dl.acm.org/doi/10.1145/2424321.2424344
IMIS research team (2012)Institute for the management of information systems Athena research centerACM SIGMOD Record10.1145/2206869.220688141:1(61-66)Online publication date: 25-Apr-2012
https://dl.acm.org/doi/10.1145/2206869.2206881

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