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20180226 data driven smart governance

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20180226 data driven smart governance

  1. 1. Data-Driven Smart Governance Dongpo Deng 2018.2.26
  2. 2. Data, Information, Knowledge, Wisdom 1 30 50 30 => 7:30 50 30 =>
  3. 3. Source from https://www.emc.com/leadership/digital-universe/2014iview/high-value-data.htm
  4. 4. 4I 4I for Data-Driven Smart Government Interaction IntegrationIntelligence Influence
  5. 5. I • (Open Data) • • • Hackathon, Data jam, Datapalooza • • 1999 E-Tag Interaction
  6. 6. ? ? ?
  7. 7. Source: Technical Assessment of Open Data Platforms for National Statistical Organisations
  8. 8. • • • • Source: http://knowhow.opendatamonitor.eu/odresearch/the-open-data-ecosystem-and-its-stakeholders/
  9. 9. 311 (San Fransisco 311 Explorer) https://sf311.org/
  10. 10. Yelp
  11. 11. Yelp
  12. 12. Yelp
  13. 13. Yelp
  14. 14. I • • • • : Integration
  15. 15. https://datastandards.directory/
  16. 16. (IMI) • 2013 IT (IMI) • (IMI) Picture source: (2017) ・デ ! ぐ IMI
  17. 17. (IMI)
  18. 18. I • AI (Agriculture Informatics) Made by Japan IT : • (1) • (2) IT ( Made by Japan) • (3) AI • (4)
  19. 19. II • IT • / 2014 • “ ” •
  20. 20. (CAVOC)
  21. 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. 22. Picture source: http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A52010DC0744
  23. 23. Source :https://joinup.ec.europa.eu/site/core_vocabularies/Core_Vocabularies_user_handbook/ISA%20Hanbook%20for%20using%20Core%20Vocabularies.pdf
  24. 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. 25. Source: https://www.niem.gov
  26. 26. I • (Data-driven decision-making) • (Data Science) (Deep Learning) (Linked Data) (Semantic Web) + Intelligence
  27. 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. 28. The Mayor’s Geek Squad Picture source: http://www.nytimes.com/2013/03/24/nyregion/mayor-bloombergs-geek-squad.html
  29. 29. Picture source: http://www.nytimes.com/2013/03/24/nyregion/mayor-bloombergs-geek-squad.html
  30. 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. 31. I • • • Influence
  32. 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. 33. Picture source: https://www.apqc.org/blog/building-data-driven-organization-starts-culture Picture source http://aifoundry.com/industries-applications/public-sector/
  34. 34. / • • • Apis • • • • • • • • • • • • • • • • • • • Adopted from https://www.slideshare.net/janet-hughes/open-data-value-chain
  35. 35. IDC
  36. 36. • ... 1996 270 • 2001 • 2005 130 Curtesy from Morten Lind (2014) Addresses and Address Data
  37. 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. 38. GeoLytix • (Ordnance Survey) • • 380,000 • •
  39. 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. 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. 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. 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. 43. OWL and RDF
  44. 44. :
  45. 45. • ? • ? • ?
  46. 46. • ? • ? • ?
  47. 47. • Published on https://data.gov.tw/dataset/7556 • Released via CC-BY 4.0
  48. 48. • 2015/1/4 • • 850,000
  49. 49. Crop names
  50. 50. http://amis.afa.gov.tw/main/Main.aspx
  51. 51. • ? • • • - A A A A A
  52. 52. 226
  53. 53. LandSecNO
  54. 54. XY http://twland.ronny.tw/index/search? lands[]=TC0336,31520000
  55. 55. • 800
  56. 56. twofood.cc XY
  57. 57. iCook.tw microdata schema:ingredients
  58. 58. A Chrome extension, LinkedFood
  59. 59. A Chrome extension, LinkedFood
  60. 60. A Chrome extension, LinkedFood
  61. 61. A Chrome extension, LinkedFood
  62. 62. dongpo.deng@gmail.com CC-BY 4.0

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