Jeocrowd: collaborative searching of user-generated point datasets

Authors:
George Lamprianidis;Dieter Pfoser
Affiliations:
Institute for the Management of Information Systems, Athens, Greece;Institute for the Management of Information Systems, Athens, Greece
Venue:
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Year:
2011

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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.