2012 acm geocrowd
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TRANSCRIPT
& Academia Sinica
Using Social Media for Collaborative Species Identification and Occurrence:
Issues, Methods, and Tools
Dongpo Deng, G.-S. Mai, C.-H. Hsu, T.-R. Chuang, T.-E. Lin, H.-H. Lin, K.-T. Shao, R. Lemmens, M.-J.
Kraak !
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, the Netherlands
& Institute of Information Science, and Biodiversity Research
Center, Academia Sinica, Taiwan
& Endemic Species Research Institute,
Council of Agriculture, Taiwan
ACM SIGSpatial GeoCrowd, 5 Nov. 2012
2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
Background
!A large number of social media users as human senors actively report what are happening in their surroundings.
!Voluntary participation has become an important part of citizen science. The emergence of social media offers new opportunities to recruit more participants to citizen science projects.
!Utilizing social media to engage with a large number of people can be a way to improve data collection over a large geographic region and a long time span.
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
Motivations
! The transformation from crowdsourced information to citizen science is a problem ! There is no social media specifically designed for citizen
science. ! Social media applications and services facilitate social
interactions, but not scientific activities and data analyses. ! The crowdsourced information contributed by netizens
through social media is often in unstructured data format such as text and image.
! It is a challenge to process unstructured data collections for scientific purposes.
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
Institutional GI and UGGC
Structured GI Unstructured GI
User Generated Geo Content!(Volunteered Geographic Information)
Institutional GI
2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
Research questions and purposes
!Research questions ! Can social media be a tool for citizen science project? ! How to deal with unstructured data from social media? ! How to use the structured (processed) crowdsourced
information to help participants of citizen science projects? !Research purposes ! To discuss whether social media can be a tool for citizen
science ! To provide an approach for processing unstructured data
from social media ! To develop tools for processing information from social
media, and reuse the processed information for citizens and scientists
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
Ecological Observation on Facebook
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http://www.facebook.com/groups/enjoymoths/permalink/438916509453913/
2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
An approach for processing crowdsourced information
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Information Extraction
Information Reuse
Information Formalization
2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
Identifying shortened species names
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Confidence value =
2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
Identifying shortened place names
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
An ontology for formalizing the extracted information from Facebook threads
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
Publish the processed crowdsourced information
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http://140.109.28.64:2020/page/thread/177883715557195_438916509453913
2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
The entry for the extracted species name
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
The entry for the extracted geographic name
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
Use CMS to manage processed data
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http://roadkilled.biota.biodiv.tw http://enjoymoths.biodiv.tw/
2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
A semantic annotation plug-in for entering geographic names in Facebook posts
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
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2012/11/6ACM SIGSpatial GeoCrowdInstitute of Information Science, Academia Sinica
Conclusion and future works
! This study proposed an approach to transferring unstructured crowdsourced information to structured data for scientific purposes
!We believe it has broader application in UGC management as well, and it promises to be a good start in solving important design problems in citizen science projects on the Web
! In the future, we will improve these tools and investigate new ways to apply them in other contexts
!Also, we will apply the crowdsourced data collected from Facebook to ecological researches such as the hotspot of roadkill
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