This document discusses data-driven smart governance and describes how governments can utilize data, information, and intelligence through interaction, integration, and influence. It provides examples of how open data, data standards, semantic technologies, machine learning, and public-private partnerships can help power more data-driven decision making and transparent, responsive government services.

1. Data-Driven Smart Governance
Dongpo Deng
2018.2.26

2. Data, Information, Knowledge, Wisdom
1 30
50 30
=>
7:30
50 30
=>

3. Source from https://www.emc.com/leadership/digital-universe/2014iview/high-value-data.htm

4. 4I
4I for Data-Driven Smart Government
Interaction
IntegrationIntelligence
Influence

5. I
• (Open Data)
•
•
• Hackathon, Data jam, Datapalooza
•
• 1999 E-Tag
Interaction

6. ? ? ?

7. Source: Technical Assessment of Open Data Platforms for National Statistical Organisations

8. •
•
•
•
Source: http://knowhow.opendatamonitor.eu/odresearch/the-open-data-ecosystem-and-its-stakeholders/

9. 311
(San Fransisco 311 Explorer)
https://sf311.org/

10. Yelp

11. Yelp

12. Yelp

13. Yelp

14. I
•
•
•
• :
Integration

15. https://datastandards.directory/

16. (IMI)
• 2013
IT
(IMI)
• (IMI)
Picture source: (2017) ・デ !
ぐ
IMI

17. (IMI)

18. I
•
AI (Agriculture Informatics)
Made by Japan IT
:
• (1)
• (2) IT
( Made by Japan)
• (3) AI
• (4)

19. II
•
IT
• /
2014
• “ ”
•

20. (CAVOC)

21. (AAO)
AAO AAO
= Farm preparation
= Seeding in nursery box
= Direct seeding in alooded paddy
aield= Treatment for land preparation
= Fertilization
= Manual weeding
= Drainage of ponded water
= Solar heat disinfection
/ = Watering
= Treatment for weeding
= Applying biopesticide
= Applying the insecticides
= Insect pest suppression by
physical means= Rice harvesting by binder and
reaper( ) = Drying grains or beans
( ) = Rice milling
( )
( )
( )
( ) = Practice for barning
( ) = Drying grains or beans
( )

22. Picture source: http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A52010DC0744

23. Source :https://joinup.ec.europa.eu/site/core_vocabularies/Core_Vocabularies_user_handbook/ISA%20Hanbook%20for%20using%20Core%20Vocabularies.pdf

24. National Information Exchange Model, NIEM
• 2005
•
• 2010
7
NIEM 4.0
Picture source: https://www.sparxsystems.com.au/domains/niem/national-
information-exchange-model-niem-solution-with-enterprise-architect.html

25. Source:
https://www.niem.gov

26. I
• (Data-driven
decision-making)
•
(Data Science)
(Deep Learning)
(Linked Data)
(Semantic Web)
+
Intelligence

27. Information
Management
Big Data Stores
Machine
Learning/Data
Science
Intelligence
Services
RDF Linked Data Semantic WebWeb Technology
• Data Catalog
• Data Model
• Data Clean
• Common vocab.
• HTTP URI
• Data Lake
• Data Warehouse
• RDF Repository
• Data mining
• Machine Leaning
• Deep Learning
• Reasoning
• Bot
• Dashboard
• Visualization
• Facet browser
• Semantic Query
Data Intelligence ActionInformation

28. The Mayor’s Geek Squad
Picture source: http://www.nytimes.com/2013/03/24/nyregion/mayor-bloombergs-geek-squad.html

29. Picture source: http://www.nytimes.com/2013/03/24/nyregion/mayor-bloombergs-geek-squad.html

30. 4.0
• 4.0
Source: https://www.fraunhofer.de/content/dam/zv/de/Forschungsfelder/industrial-data-space/Industrial-Data-Space_Reference-Architecture-Model-2017.pdf

31. I
•
•
•
Influence

32. Source https://www2.deloitte.com/content/dam/insights/us/articles/digital-transformation-in-
government-summary/DUP_1424_Journey-to-govt-digital-future_EXEC-SUMMARY.pdf
(Digital Maturity)
(People)
(Process)
(Preparedness)

33. Picture source: https://www.apqc.org/blog/building-data-driven-organization-starts-culture
Picture source http://aifoundry.com/industries-applications/public-sector/

34. /
•
•
• Apis
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
Adopted from https://www.slideshare.net/janet-hughes/open-data-value-chain

35. IDC

36. •
...
1996
270
• 2001
• 2005
130
Curtesy from Morten Lind (2014) Addresses and Address Data

37. • 2010 2005 - 2009
6,200 200
130
• 2009 1,236 286
12 IT 1
Curtesy from Morten Lind (2014) Addresses and Address Data

38. GeoLytix
• (Ordnance
Survey)
•
• 380,000
•
•

39. •
2011-12
(NHS) 4
• Mastodon
C
•
NHS 10
http://www.economist.com/news/britain/21567980-how-scrutiny-freely-available-data-might-save-nhs-money-beggar-thy-neighbour#sthash.vFJeAuzV.dpbs

40. This year (2000), in order to
encourage people -- especially
government data owners -- along
the road to good linked data, I
have developed this star rating
system.
https://www.w3.org/DesignIssues/LinkedData.html
Photo from 5stardata.info/

41. (Linked Data)
•
• !
• (Content negotiation) (e.g. HTML and RDF/XML)
• HTML+ RDFa
•
• Metcalfe’s Law
http://en.wikipedia.org/wiki/Metcalfe%27s_law

42. (Resource Description Framework, RDF)
isPlantAt
Subject Predicate Object
Triple
URL
URL
URL
ID Crop Place Admin1 Lat Lon GeonameID
1 43.919 142.485 7429565
2 35.411 139.670 6419488
3 41.291 141.033 2129089
4 39.704 140.913 7441818
5 39.800 141.067 2110852

43. OWL and RDF

44. :

45. •
?
•
?
•
?

46. •
?
•
?
•
?

47. • Published on https://data.gov.tw/dataset/7556
• Released via CC-BY 4.0

48. •
2015/1/4
•
• 850,000

49. Crop names

50. http://amis.afa.gov.tw/main/Main.aspx

51. • ?
•
•
•
-
A A
A
A A

52. 226

53. LandSecNO

54. XY
http://twland.ronny.tw/index/search?
lands[]=TC0336,31520000

58. • 800

60. twofood.cc XY

61. iCook.tw microdata
schema:ingredients

62. A Chrome extension, LinkedFood

63. A Chrome extension, LinkedFood

64. A Chrome extension, LinkedFood

65. A Chrome extension, LinkedFood

67. dongpo.deng@gmail.com
CC-BY 4.0