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Constructing gazetteers from volunteered Big Geo-Data based on Hadoop · Study

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Constructing gazetteers from volunteered Big Geo-Data based on Hadoop

Song Gao, Linna Li, Wenwen Li, Krzysztof Janowicz, Yue Zhang

2014-03-12articleComputers Environment and Urban Systems156 citationsgreen

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Geographic Information Systems Studies Cloud Computing and Resource Management Mobile Crowdsensing and Crowdsourcing

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 156 citations exist upstream.

References

2007Citizens as sensors: the world of volunteered geography

1978Space and Place: The Perspective of Experience.

1978Space and Place: The Perspective of Experience

1996Re-place-ing space

2012Assuring the quality of volunteered geographic information

1997Geographic Objects with Indeterminate Boundaries.

2012From Databases to Big Data

2011Space and Place

Cited by

2020Understanding house price appreciation using multi-source big geo-data and machine learning

2015A general perspective of Big Data: applications, tools, challenges and trends

2017An evaluation of crowdsourced information for assessing the visitation and perceived importance of protected areas

2015Detecting tourism destinations using scalable geospatial analysis based on cloud computing platform

2019Blending Big Data Analytics: Review on Challenges and a Recent Study

2020Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience

2017A data-synthesis-driven method for detecting and extracting vague cognitive regions

2021Deep learning with small datasets: using autoencoders to address limited datasets in construction management

Details

Year2014

Typearticle

VenueComputers Environment and Urban Systems

Languageen

Files0 public / 0

Identifiers

doi10.1016/j.compenvurbsys.2014.02.004

openalex_workW2013326020

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