Fusing Crowdsourcing and Social Media to Harvest Volunteered and Ambient Geospatial Information
Crowdsourcing is the process of getting work, idea or funding, usually online, from a crowd of people. The idea is to take intended tasks and outsource them to the crowd. On the other hand, social media are computermediated tools that allow people to create, share or exchange information, ideas,...
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| Format: | Journal Article |
| Online Access: | http://www.ijcscn.ijcta.com/vol5issue3.php http://hdl.handle.net/20.500.11937/80530 |
| Summary: | Crowdsourcing is the process of getting work,
idea or funding, usually online, from a crowd of people.
The idea is to take intended tasks and outsource them to
the crowd. On the other hand, social media are computermediated tools that allow people to create, share or
exchange information, ideas, pictures and videos
throughout virtual communities and social networks. Both
crowdsourcing and social media play a great role as a
source of AGI (Ambient Geospatial Information) and VGI
(Volunteered Geospatial Information) for multiple geoapplications related to Agriculture, Health, Environmental
studies, Tourism, and etc. VGI is purposely contributed by
citizens via crowdsourcing platforms, whereas AGI is
contributed by the public without explicit intention via
social networks, such as Facebook, Twitter and Flickr. In
this paper, we proposed a framework to fuse
crowdsourcing and social media platforms to harvest both
VGI and AGI for the aforementioned applications.
Accordingly, the crowdsourcing platforms serve as sources
of structured VGI, which can be used for the intended
applications without further manipulation; and the social
media platforms, which are photo sharing (Flickr),
socializing (Facebook) or micro-blogging (Twitter) in kind,
serve as sources of AGI, which demand further analyses
and manipulations, as the contributions of information are
not intentional. To this end, the proposed framework has a
multi-strategy text processing and information retrieval
methods that consume texts and photos from social media
and harvest the required AGI, after which the VGI and
AGI are integrated and stored in a common spatial
database for later uses. |
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