Your SlideShare is downloading. ×
Agile2010
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Introducing the official SlideShare app

Stunning, full-screen experience for iPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Agile2010

389
views

Published on


0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
389
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
9
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. 0
    Crowdsourcing Sensor Tasks to a Socio-geographic Network
    5/12 – AGILE 2010, Guimarães
    Damian Lasnia
  • 2. The topic
    1
    Developed as Bachelor of Science Thesis
    AGILE Short paper revised by…
    ARNE BRÖRING
    SIMON JIRKA
    ALBERT REMKE
  • 3. Content
    2
  • 4. The goal
    Gather sensor data cheaply and fast with human sensors
    Decision making
    Monitoring
    Enlarge pool of VGI
    3
  • 5. Placement Mistake
    4
    District
    Supermarket
    Bridge
    River
    [BLOCKED]
  • 6. Crowdsourcing
    5
    Outsourcing jobs to the whole web community
    Harvest the society's whole wisdom, skill or creativity for solving a single task
    “the new pool of cheap labor” BETTER:a complex problem-solving model
    Open Call
    Repository
    Repository
    Solution
    Solution
    Request
    Solution
    CROWD
  • 7. The Human sensor
    6
    Sensing
    Computing
    Actuation
    Communication
    Power
  • 8. VGI in Web 2.0 applications
    Infrastructures and technologies to manage, organize and display huge amounts of users and data
    Specialized hardware
    High update interval
    Good example: OSM
    7
  • 9. Upgrading Social Networks toSocio-Geographic Networks
    • Evolution of Social Networks
    • 10. Forum – discuss
    • 11. User generated content – share
    • 12. Who knows whom, groups – network
    • 13. Next step: requesting (Sensor) content –gather information
    8
  • 14. Upgrading Social Networks toSocio-Geographic Networks
    9
    Add request, forwarding, searching and delivering methods
    Add sensor attributes
    Add Impact area
    SRS
  • 15. Prototype
    10
    Open source SN
    OpenGeoStack
  • 16. Prototype - Profile
    11
  • 17. Prototype - Request
    12
  • 18. Prototype - Provide
    13
  • 19. Prototype - Rate
    14
  • 20. The vision
    A generic sensor data request application to establish a worldwide public human sensor network
    Sensor data is a significant part of everyone's opinion and decision making process, because data inside a system of meaning becomes information, and information inside a larger context construct knowledge – freely adapted by Chrisman
    15
  • 21. The vision – Data
    Open
    combine human sensor data with data from authorities
    safe
    Real-time
    16
  • 22. The vision - Content
    17
  • 23. The vision – Users
    Privacy
    Personalized Networking
    19
  • 24. Human observation service
    Funded by EU Genesis project
    Pilot areas for water and air quality
    Human observation service, a web user interface as SOS frontage
    20
  • 25. Simple
    21
    Providers of VGI may be amateurs in the field of sensor networks and/or web applications
    Entire SOS business logic hidden
    Straight forward user interface
    Hints
  • 26. Familiar
    A familiar workspace lightens user interactions and enables a stronger connection between applications and users
    22
  • 27. Together
    23
    As soon as participants of a project see themselves as part of a big picture, they should become motivated even more.
  • 28. Software
    Generic, add observation forms and languages, change look without programming experience
    To be published as open source project at 52north
    24
  • 29. Placement Mistake
    25
    Location data by car drivers
    Videos, Photos, Reports, Noise recordings by neighborhoods and walkers
  • 30. Thanks
    last
    The AGILE short paper and presentation is a short version of my BSc work, interested in the the full version?
    mail me: d.lasnia@gmail.com