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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
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.

Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

2
Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

3
Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

4
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.

Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

5
Institutional GI and UGGC
Institutional GI

User Generated Geo Content!
(Volunteered Geographic Information)

Unstructured GI

Structured GI

Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6
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
Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

7
Ecological Observation on Facebook

http://www.facebook.com/groups/enjoymoths/permalink/438916509453913/
Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

8
An approach for processing
crowdsourced information
Information Reuse

Information Extraction

Information Formalization
Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

9
Identifying shortened species names

Confidence value =

Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

10
Identifying shortened place names

Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

11
An ontology for formalizing the extracted
information from Facebook threads

Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

12
Publish the processed crowdsourced
information

http://140.109.28.64:2020/page/thread/177883715557195_438916509453913
Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

13
The entry for the extracted species
name

Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

14
The entry for the extracted geographic
name

Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

15
Use CMS to manage processed data

http://roadkilled.biota.biodiv.tw

http://enjoymoths.biodiv.tw/

Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

16
A semantic annotation plug-in for entering
geographic names in Facebook posts

Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

17
Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

18
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
Institute of Information Science, Academia Sinica

ACM SIGSpatial GeoCrowd
2012/11/6

19
Thank you for attention
!

deng@itc.nl

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2012 ACM Geocrowd

  • 1. & 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
  • 2. 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. Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 2
  • 3. Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 3
  • 4. Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 4
  • 5. 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. Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 5
  • 6. Institutional GI and UGGC Institutional GI User Generated Geo Content! (Volunteered Geographic Information) Unstructured GI Structured GI Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6
  • 7. 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 Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 7
  • 8. Ecological Observation on Facebook http://www.facebook.com/groups/enjoymoths/permalink/438916509453913/ Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 8
  • 9. An approach for processing crowdsourced information Information Reuse Information Extraction Information Formalization Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 9
  • 10. Identifying shortened species names Confidence value = Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 10
  • 11. Identifying shortened place names Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 11
  • 12. An ontology for formalizing the extracted information from Facebook threads Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 12
  • 13. Publish the processed crowdsourced information http://140.109.28.64:2020/page/thread/177883715557195_438916509453913 Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 13
  • 14. The entry for the extracted species name Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 14
  • 15. The entry for the extracted geographic name Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 15
  • 16. Use CMS to manage processed data http://roadkilled.biota.biodiv.tw http://enjoymoths.biodiv.tw/ Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 16
  • 17. A semantic annotation plug-in for entering geographic names in Facebook posts Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 17
  • 18. Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 18
  • 19. 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 Institute of Information Science, Academia Sinica ACM SIGSpatial GeoCrowd 2012/11/6 19
  • 20. Thank you for attention ! deng@itc.nl