Nick Black - Cloudmade - Towards A Crowd Sourced Solution

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    Nick Black - Cloudmade - Towards A Crowd Sourced Solution - Presentation Transcript

    1. Towards a Crowd Sourced Solution Nick Black CloudMade
    2. Introduction to Nick 2 2 http://www.flickr.com/photos/nick_bl/2744769964/
    3. Introduction to Nick • Founder CloudMade • Driving Product Management at CloudMade • Early driver of OpenStreetMap (OSM) • OSM Foundation Board Member 2 2 http://www.flickr.com/photos/nick_bl/2744769964/
    4. Crowd Sourcing • What problems we are trying to solve with crowd sourcing? • What is crowd sourcing good for? • What are the challenges of crowd sourcing? • How are CloudMade addressing the issues? 3 3 http://www.flickr.com/photos/nick_bl/2744769964/
    5. The Problem 4
    6. We Want Maps! 5
    7. A Map Global Rich Affordable Reliable Accessible 6
    8. A Map Global Rich Affordable Reliable Accessible 6
    9. A Map Global Rich Affordable Reliable Accessible 6
    10. A Map Global Rich Affordable Reliable Accessible 7 7
    11. Global Data 8 http://ar2007.tomtom.com/pdf/tomtom_Ar07.pdf
    12. Global Data • Mapping is a global market, and its big: • TeleAtlas - $493 million 2008 revenue • Acquired by TomTom for $4.2 billion • Combined $2.95 billion 2008 revenue • All this to get a global dataset... 8 http://ar2007.tomtom.com/pdf/tomtom_Ar07.pdf
    13. Global Navigation Market 9 http://www.canalys.com/pr/2008/r2008081.htm http://www.geoconnexion.com/geo_news_article/Tele-Atlas-reaches-20-million-customers-via-TomTom/3791
    14. Global Navigation Market • $5 billion global PND market in 2008 • Requires medium accuracy, global datasets • What is the biggest consumer complaint? • Maps are out of date 9 http://www.canalys.com/pr/2008/r2008081.htm http://www.geoconnexion.com/geo_news_article/Tele-Atlas-reaches-20-million-customers-via-TomTom/3791
    15. Global Maps 10
    16. Global Maps • Producing a global dataset is challenging • Requires the provider to scale to a global operation • With scaling comes diseconomies of scale 10
    17. Affordable Maps 11 http://www.flickr.com/photos/photograham/429123216/
    18. Affordable Maps • Maps are a commoditized consumer product, which is a good thing! • Google and Tom-Tom have driven the mapping of the world and driven down the cost of maps • The cost of geo-data will continue to be driven down by consumer demand 11 http://www.flickr.com/photos/photograham/429123216/
    19. Rich Maps • Questions that require a rich dataset: 12
    20. Rich Maps • Questions that require a rich dataset: Where am I? What is close? Where do I go next? How far is it? Location 12
    21. Rich Maps • Questions that require a rich dataset: Where am I? What is close? Where do I go next? How far is it? Location What can I see? Am I wet? Am I high? Physical 12
    22. Rich Maps • Questions that require a rich dataset: Where am I? What is close? Where do I go next? How far is it? Location Am I safe? Am I likely to be Social burgled? How long will I live if I stay here? What can I see? Am I wet? Am I high? Physical 12
    23. Rich Maps • Are we getting rich maps? 13 13
    24. No! 14
    25. No! • We canʼt ask questions like: – What can I see from here? – How high am I? – What is within walking distance of here? – What species of tree grows here? 14
    26. Reliable Maps 15 15
    27. Reliable Maps • Maps are only as useful as they are reliable • Reliability: – Spatial accuracy and correctness – Temporal accuracy and correctness – Accuracy of overlays, derived layers – Reliability of delivery mechanism 15 15
    28. Accessible Maps 16 16 http://www.flickr.com/photos/jasonhudson/2306658493/sizes/o/
    29. Accessible Maps • People need to be able to access and understand their maps • Maps need to be fit for purpose • For all the failings of Google and other online maps, they have made maps and geodata accessible to 100s millions of people 16 16 http://www.flickr.com/photos/jasonhudson/2306658493/sizes/o/
    30. The Problem 17
    31. A Map Global Rich Affordable Reliable Accessible 18 18
    32. The Solution 19
    33. Crowd Sourced Maps
    34. But first... Starfish and spiders 21
    35. OpenStreetMap • Global community of 64,000 mappers • Self organising, bottom up structure • Extremely diverse membership 22 22
    36. OpenStreetMap 6% of users Super Mappers 80% 24% of users Active Mappers 19% 70% of users Users 1% 24
    37. A Map Global Rich Problems OSM solves Problems OSM raises Affordable Reliable Accessible 24 26
    38. Global Data 25
    39. Global Data • OSM has 64,000 contributors • OSM is actively mapping in 79 countries worldwide (more than 100 edits per month) • Lets take a tour... 25
    40. 26
    41. 26
    42. 27
    43. Global Data Challenges 28
    44. Global Data Challenges •Global •Get the whole world involved •Technical, social and cultural challenges 28
    45. Affordable Maps • Data is free • Value moves up the value chain • Users of the data • Third party apps, device manufactures 29 http://www.flickr.com/photos/photograham/429123216/
    46. Rich Maps • Are we getting rich maps? 30 31
    47. You Bet! 31
    48. 31
    49. Rich Data - Germany POIs 32 German POI data from OpenStreetMap August 2008
    50. Rich Data - Germany POIs 145,000 Points of Interest 32 German POI data from OpenStreetMap August 2008
    51. Rich Data - Germany POIs 34,000 Carparks 145,000 Points of Interest 32 German POI data from OpenStreetMap August 2008
    52. Rich Data - Germany POIs 34,000 Carparks 145,000 Points of Interest 25,000 WLAN Hotspots 32 German POI data from OpenStreetMap August 2008
    53. Rich Data - Germany POIs 34,000 Carparks 145,000 Points of Interest 25,000 WLAN Hotspots 9,500 Restaruants 32 German POI data from OpenStreetMap August 2008
    54. Rich Data - Germany POIs 34,000 Carparks 145,000 Points of Interest 25,000 WLAN Hotspots 9,500 9,000 Places Restaruants of Worship 32 German POI data from OpenStreetMap August 2008
    55. Rich Data - Germany POIs 34,000 Carparks 145,000 Points of Interest 25,000 WLAN Hotspots 7,000 Filling Stations 9,500 9,000 Places Restaruants of Worship 32 German POI data from OpenStreetMap August 2008
    56. Rich Data - Germany POIs The long tail 34,000 Carparks 145,000 Points of Interest 25,000 WLAN Hotspots 7,000 Filling Stations 9,500 9,000 Places Restaruants of Worship 32 German POI data from OpenStreetMap August 2008
    57. Total number of POIs !\" #!!!\" $!!!!\" $#!!!\" %!!!!\" %#!!!\" &!!!!\" &#!!!\" '!!!!\" ()*+,-.\" */01)2*)-1\" 32/4\" */5654,-.\" 1/4/(78-/\" (7)*9)56\" (2:\" ;*/<01)=8-\" (801<8>5/\" 780(,1)4\" 18,4/10\" :,/*.)*1/-\" 382-1),-\" ()*+<:/-57\" :/-57\" :,5654/<()*+,-.\" 1)?,\" 17/)1*/\" 2-,@/*0,16\" 582*17820/\" @/-A,-.<9)57,-/\" 0,.-(801\" )*10<5/-1*/\" B)01/<:)0+/1\" 078(\" 18B-<7)44\" :,5654/<*/-1)4\" 0(//A<1*)(\" (*/057884\" @/1/*,-)*6\" 0,.-\" /9:)006\" Long Tailed POIs -2*0/*6\" ()5+01)=8-\" B)01/<:,-\" A/-=01\" ;*/<76A*)-1\" */32./\" 012A,8\" 33 :)*\" 078((,-.\" 781/4\" +,-A/*.)*A/-\" -/B0()(/*\" 0(8*1\" 0(//A<5)9/*)\"
    58. Total number of POIs !\" #!!!\" $!!!!\" $#!!!\" %!!!!\" %#!!!\" &!!!!\" &#!!!\" '!!!!\" ()*+,-.\" */01)2*)-1\" 32/4\" */5654,-.\" 1/4/(78-/\" (7)*9)56\" (2:\" ;*/<01)=8-\" Car Parks (801<8>5/\" Telephones Pharmacies Restaurants 780(,1)4\" 18,4/10\" Filling Stations WiFi Hot Spots :,/*.)*1/-\" 382-1),-\" ()*+<:/-57\" :/-57\" :,5654/<()*+,-.\" 1)?,\" 17/)1*/\" 2-,@/*0,16\" 582*17820/\" @/-A,-.<9)57,-/\" 0,.-(801\" )*10<5/-1*/\" B)01/<:)0+/1\" 078(\" 18B-<7)44\" :,5654/<*/-1)4\" 0(//A<1*)(\" (*/057884\" @/1/*,-)*6\" 0,.-\" /9:)006\" Long Tailed POIs -2*0/*6\" ()5+01)=8-\" B)01/<:,-\" A/-=01\" ;*/<76A*)-1\" */32./\" 012A,8\" 33 :)*\" 078((,-.\" 781/4\" +,-A/*.)*A/-\" -/B0()(/*\" 0(8*1\" 0(//A<5)9/*)\"
    59. Total number of POIs !\" #!!!\" $!!!!\" $#!!!\" %!!!!\" %#!!!\" &!!!!\" &#!!!\" '!!!!\" ()*+,-.\" */01)2*)-1\" 32/4\" */5654,-.\" 1/4/(78-/\" (7)*9)56\" (2:\" ;*/<01)=8-\" Car Parks (801<8>5/\" Telephones Pharmacies Restaurants 780(,1)4\" 18,4/10\" Filling Stations WiFi Hot Spots :,/*.)*1/-\" 382-1),-\" ()*+<:/-57\" :/-57\" :,5654/<()*+,-.\" 1)?,\" 17/)1*/\" 2-,@/*0,16\" 582*17820/\" @/-A,-.<9)57,-/\" 0,.-(801\" Bars )*10<5/-1*/\" Ships Hotels B)01/<:)0+/1\" Studios Dentists 078(\" 18B-<7)44\" :,5654/<*/-1)4\" 0(//A<1*)(\" (*/057884\" Speed Cameras @/1/*,-)*6\" 0,.-\" /9:)006\" Long Tailed POIs -2*0/*6\" ()5+01)=8-\" B)01/<:,-\" A/-=01\" ;*/<76A*)-1\" */32./\" 012A,8\" 33 :)*\" 078((,-.\" 781/4\" +,-A/*.)*A/-\" -/B0()(/*\" 0(8*1\" 0(//A<5)9/*)\"
    60. Total number of POIs !\" #!!!\" $!!!!\" $#!!!\" %!!!!\" %#!!!\" &!!!!\" &#!!!\" '!!!!\" ()*+,-.\" */01)2*)-1\" 32/4\" */5654,-.\" 1/4/(78-/\" (7)*9)56\" (2:\" ;*/<01)=8-\" Car Parks (801<8>5/\" Telephones Pharmacies Restaurants 780(,1)4\" 18,4/10\" Filling Stations WiFi Hot Spots :,/*.)*1/-\" 382-1),-\" ()*+<:/-57\" :/-57\" :,5654/<()*+,-.\" 1)?,\" 17/)1*/\" 2-,@/*0,16\" 582*17820/\" @/-A,-.<9)57,-/\" 0,.-(801\" Bars )*10<5/-1*/\" Ships Hotels B)01/<:)0+/1\" Studios Dentists 078(\" 18B-<7)44\" :,5654/<*/-1)4\" 0(//A<1*)(\" (*/057884\" Speed Cameras @/1/*,-)*6\" 0,.-\" /9:)006\" Long Tailed POIs -2*0/*6\" ()5+01)=8-\" B)01/<:,-\" Studio A/-=01\" Nursery Embassy ;*/<76A*)-1\" Town Halls */32./\" Fire Hydrant 012A,8\" 33 :)*\" Waste Baskets 078((,-.\" 781/4\" +,-A/*.)*A/-\" -/B0()(/*\" 0(8*1\" 0(//A<5)9/*)\"
    61. Community Value != Market Value 34
    62. Community Value = Market Value 35
    63. Reliable Maps 36 36
    64. Reliable Maps • The community will ensure that the map is reliable • Community watch for mistakes and vandalism, help newbies, run servers • Challenge of reliability is a lot to do with winning hearts and minds of doubters 36 36
    65. Lets compare - OSM v. GMAPS http://www.refnum.com/osm/gmaps/
    66. Less Reliable Maps 38
    67. Less Reliable Maps • Mistakes can and will be made • The delivery mechanism is very important • The OSM server structure can be put under strain 38
    68. More Accessible Maps 39 39 http://www.flickr.com/photos/jasonhudson/2306658493/sizes/o/
    69. More Accessible Maps • OSM allows people to make maps their own • Now anyone can make, update and edit a map • Affordability is accessibility 39 39 http://www.flickr.com/photos/jasonhudson/2306658493/sizes/o/
    70. Accessible Maps 40 40 www.opencyclemap.org/
    71. Less Accessible Maps 41 41 http://www.flickr.com/photos/jasonhudson/2306658493/sizes/o/
    72. Less Accessible Maps • All this free data, but who is using it? • Requires a lot of technical knowledge • High barriers to entry to both data collection and data use • Not yet true democratisation 41 41 http://www.flickr.com/photos/jasonhudson/2306658493/sizes/o/
    73. Key challenges for OSM http://www.flickr.com/photos/looking4poetry/541427350/ 42
    74. Key challenges for OSM • Expanding base of mappers and users • Provide data that is useful to people • Help people use the data and truly democratise maps • Prove the reliability of the data http://www.flickr.com/photos/looking4poetry/541427350/ 42
    75. Rising to the challenge
    76. CloudMade 44
    77. CloudMade • Helping OSM map the world • Providing professional tools and services • High reliability and availability • User friendly interfaces to OSM data • Powering the democratisation of geodata 44
    78. Next time you need a map... 45
    79. Next time you need a map... • Next time you need some map data • Go to downloads.cloudmade.com • Download a shapefile for free • Experience Crowd Sourced maps for yourself 45
    80. http://delicious.com/nick_b/agi08 Thanks for listening nick@cloudmade.com Nick Black

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