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Ramesh Jain                    with            Several Collaborators8/17/2012                           1
    Scarcity: inadequate supply, Insufficiency of      amount or supply     Abundance: an extremely plentiful or      ov...
Scarcity            Proprietary and Confidential, Not For8/17/2012                Distribution               3
Abundance              Proprietary and Confidential, Not For8/17/2012                  Distribution               4
Proprietary and Confidential, Not For8/17/2012                Distribution               5
Proprietary and Confidential, Not For8/17/2012                Distribution               6
Proprietary and Confidential, Not For8/17/2012                Distribution               7
We are immersed in Networks of     People     Things     EventsIt is now possible to be Pansophical. 8/17/2012         ...
Past is EXPERIENCE            Present is EXPERIMENT            Future is EXPECTATION                Use your Experiences  ...
Astrology               To                 Astronomical                 Volumes of                 Data8/17/2012          ...
Proprietary and Confidential, Not For8/17/2012                Distribution               11
Have been reporting events as micro-blogsSensors and Internet of Things are creating  and reporting even more events than ...
   Objects -- popular in the West.   Relationships and Events – popular in the    East.   Objects and Events – seems to...
   Data   Objects   Relationships and Events
Recognize                              Objects                              Situations            Knowledge Observe Big Da...
   Take place in the real world.   Captured using different sensory mechanism.       Each sensor captures only a limite...
   Conferences       Days         Sessions           Talks             Purpose of the talk   Wedding   An Earthquak...
PeopleThingsPlacesTimeExperiencesEvents    E by Westerman and Jain    E* by Gupta and Jain
Connecting  People
Reporting events as micro-blogs     Massive collection of events. Facebook reports 20 Billion updates –          3 Billion...
Time
Does the flap of a butterfly’s wings in Brazil set off a tornado  in Texas?
Atomic and Composite Events     Time
Current            Social            Networks            Important            Unsatisfied            Needs8/17/2012       ...
The World as seen through     Mobile Phones                      Most attention by       Top 1.5        Technologists – so...
   Resources       Physical: food, water, goods, …       Informational: Wikipedia, Doctors, …       Transportation    ...
Connecting            Information                  People            Aggregation Situation    Alerts               and    ...
Proprietary and Confidential, Not For8/17/2012                Distribution               30
Dynamic    Event    Situation Static    Object    Scene          Atomic    Composite
    Situation: An actionable abstraction of      observed spatio-temporal characteristics     Allow users to define thei...
Level 0: Raw data streamse.g. tweets, cameras, traffic, weather, …                                                        ...
(a) Pollen levels (Source: Visual)           (b) Census data (Source: text file)           (c) Reports on ‘Hurricanes’ (so...
S. No Operator                 Input                 Output1         Selection           Temporal              Temporal  ...
Experimentation is                                Front End GUIessential to deal with    New                          Data...
    Business decision making: Demand-supply      analysis, opening a new store, offer,…     Medical : Epidemic monitorin...
Proprietary and Confidential, Not For8/17/2012                Distribution               38
Proprietary and Confidential, Not For8/17/2012                Distribution               39
Retail Store                                                    Locations                                                 ...
Proprietary and Confidential, Not For8/17/2012                Distribution               41
Planetary scale               1) Macro   sensing                    situationSocial sensorsDevice sensors                 ...
into ‘high’ and ‘low ’activity zones.                       Proprietary and Confidential, Not For8/17/2012                ...
Macro situation                                           Alert Level=High                        Date=12/09/10   Micro ev...
8/17/2012   45
Flood         Shelter                          Classify (Flood level - Shelter)              Twitter            Flood Leve...
8/17/2012   47
Proprietary and Confidential, Not For8/17/2012                Distribution               48
1.   Alert me when major Allergy outbreak     happens in my location !2.   How healthy is today for me ?3.   What is the b...
ϵ {low,                                        Allergy Threat Level            mid, high}                                 ...
ϵ {low,                       Personal asthma threat                 mid, high}                                          ...
Proprietary and Confidential, Not For8/17/2012                Distribution               53
    Framework tested using applications:             Store location             Political campaign             Flu mon...
    Scalability     Data discovery     Application discovery     Conceptual modeling of situations     Richer operati...
    Make EventShop Robust     Develop system to deal with BIG DATA     Experiment with many applications               ...
Proprietary and Confidential, Not For8/17/2012                Distribution               57
Eventshop 120721
Eventshop 120721
Eventshop 120721
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Eventshop 120721

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Presentation at NIST on EventShop and its role in Social Life Networks.

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Transcript of "Eventshop 120721"

  1. 1. Ramesh Jain with Several Collaborators8/17/2012 1
  2. 2.  Scarcity: inadequate supply, Insufficiency of amount or supply  Abundance: an extremely plentiful or oversufficient quantity or supply Proprietary and Confidential, Not For8/17/2012 Distribution 2
  3. 3. Scarcity Proprietary and Confidential, Not For8/17/2012 Distribution 3
  4. 4. Abundance Proprietary and Confidential, Not For8/17/2012 Distribution 4
  5. 5. Proprietary and Confidential, Not For8/17/2012 Distribution 5
  6. 6. Proprietary and Confidential, Not For8/17/2012 Distribution 6
  7. 7. Proprietary and Confidential, Not For8/17/2012 Distribution 7
  8. 8. We are immersed in Networks of  People  Things  EventsIt is now possible to be Pansophical. 8/17/2012 8
  9. 9. Past is EXPERIENCE Present is EXPERIMENT Future is EXPECTATION Use your Experiences In your Experiments To achieve your Expectations8/17/2012 9
  10. 10. Astrology To Astronomical Volumes of Data8/17/2012 10
  11. 11. Proprietary and Confidential, Not For8/17/2012 Distribution 11
  12. 12. Have been reporting events as micro-blogsSensors and Internet of Things are creating and reporting even more events than humans are. 8/17/2012 12
  13. 13.  Objects -- popular in the West. Relationships and Events – popular in the East. Objects and Events – seems to be the new trend. The Web has re-emphasized the importance of every object and event being connected to others -- East Meets West.
  14. 14.  Data Objects Relationships and Events
  15. 15. Recognize Objects Situations Knowledge Observe Big Data Act Planning8/17/2012 Control 15
  16. 16.  Take place in the real world. Captured using different sensory mechanism.  Each sensor captures only a limited aspect of the event. Can be used to bridge the semantic gap.
  17. 17.  Conferences  Days  Sessions  Talks  Purpose of the talk Wedding An Earthquake The Big Bang 9/11 Formation of Google Media Lab Trip Me  My Birth,  Being here, and  Dying in 100 years.
  18. 18. PeopleThingsPlacesTimeExperiencesEvents E by Westerman and Jain E* by Gupta and Jain
  19. 19. Connecting People
  20. 20. Reporting events as micro-blogs Massive collection of events. Facebook reports 20 Billion updates – 3 Billion Photos – each month.
  21. 21. Time
  22. 22. Does the flap of a butterfly’s wings in Brazil set off a tornado in Texas?
  23. 23. Atomic and Composite Events Time
  24. 24. Current Social Networks Important Unsatisfied Needs8/17/2012 26
  25. 25. The World as seen through Mobile Phones Most attention by Top 1.5 Technologists – so Billion far. Middle of the Pyramid Middle 3.5 Billion (MOP): Ready, BUT … Bottom 2 Billion Not Ready
  26. 26.  Resources  Physical: food, water, goods, …  Informational: Wikipedia, Doctors, …  Transportation  Employment  Spiritual Timeliness Efficiency
  27. 27. Connecting Information People Aggregation Situation Alerts and Composition And Detection Queries Resources8/17/2012 29
  28. 28. Proprietary and Confidential, Not For8/17/2012 Distribution 30
  29. 29. Dynamic Event Situation Static Object Scene Atomic Composite
  30. 30.  Situation: An actionable abstraction of observed spatio-temporal characteristics  Allow users to define their own spatio- temporal features and create the situation detection filters.8/17/2012 32
  31. 31. Level 0: Raw data streamse.g. tweets, cameras, traffic, weather, … … Level 1: Unified representation Properties (STT Data) STT Stream Level 2: Aggregation Properties Emage (Emage) Level 3: Symbolic rep. Properties Situation (Situations)
  32. 32. (a) Pollen levels (Source: Visual) (b) Census data (Source: text file) (c) Reports on ‘Hurricanes’ (source: Twitter stream)d) Cloud cover (Source: Satellite imagery) (e) Predicted hurricane path (source: KML) (f) Open shelters coverage(Source: KML) Representation for different data sources into a common spatio-temporal format.
  33. 33. S. No Operator Input Output1 Selection  Temporal Temporal E-mage Set E-mage Set2 Arithmetic & K*Temporal E-mage Temporal E-mage Set Logical Set3 Aggregation α Temporal E-mage set Temporal E-mage Set4 Grouping  Temporal E-mage Set Temporal E-mage Set5 Characterization : •Spatial  •Temporal E-mage Set •Temporal Pixel Set •Temporal  •Temporal Pixel Set •Temporal Pixel Set6 Pattern Matching  •Spatial  •Temporal E-mage Set •Temporal Pixel Set •Temporal  •Temporal Pixel Set •Temporal Pixel Set 35 8/17/2012 35
  34. 34. Experimentation is Front End GUIessential to deal with New Data New Query E-mage Stream Alert Requestevolving unstructured Source Back End Controllersensory data. E-mage Stream Personalized Registered Stream Query Processor Alert UnitInspired by Queries E-mage StreamPhotoshop. User Info Registered Data Data Ingestor Raw Data Storage Sources API Calls Raw Spatial Data Stream Data Cloud 8/17/2012 36
  35. 35.  Business decision making: Demand-supply analysis, opening a new store, offer,…  Medical : Epidemic monitoring, Asthma, pollution effect mitigation  Disaster relief: (hurricane, flood, fire) directing people to appropriate resources.  Traffic: Suggesting best routes  Election8/17/2012 37
  36. 36. Proprietary and Confidential, Not For8/17/2012 Distribution 38
  37. 37. Proprietary and Confidential, Not For8/17/2012 Distribution 39
  38. 38. Retail Store Locations Net Catchment area Proprietary and Confidential, Not For8/17/2012 Distribution 40
  39. 39. Proprietary and Confidential, Not For8/17/2012 Distribution 41
  40. 40. Planetary scale 1) Macro sensing situationSocial sensorsDevice sensors +Macro sensors 2) Personalized Personal situation context Personal life streams + Profile/ Preferences e.g. High Flu risk 3) Recommend Actions Available resources + Resource data
  41. 41. into ‘high’ and ‘low ’activity zones. Proprietary and Confidential, Not For8/17/2012 Distribution 43
  42. 42. Macro situation Alert Level=High Date=12/09/10 Micro event Situational Control Action e.g. “Arrgggh, I controller “Please visit have a sore nearest CDC throat” •Goal center at 4th St(Loc=New York, •Macro Situation immediately”Date=12/09/10) •Rules Level 1 personal threat + Level 3 Macro threat -> Immediate 8/17/2012 action 44
  43. 43. 8/17/2012 45
  44. 44. Flood Shelter Classify (Flood level - Shelter) Twitter Flood Level Shelter8/17/2012 46
  45. 45. 8/17/2012 47
  46. 46. Proprietary and Confidential, Not For8/17/2012 Distribution 48
  47. 47. 1. Alert me when major Allergy outbreak happens in my location !2. How healthy is today for me ?3. What is the best location for me to undertake outdoor activities?
  48. 48. ϵ {low, Allergy Threat Level mid, high}  US, 24 hrs, 1 X 1 lat long Air quality Pollen count Tweet reports Emage Emage Emage (air quality index) (pollen level) (number of reports) Δ Δ Δ Air quality S-t-t (#reports) US, Pollen count 24 hrs, Δ1X1lat long US, 24 hrs, US, 1X1 lat long 24 hours, Weather.com Twitter 2X2 Pollen.com Twitter.com
  49. 49. ϵ {low, Personal asthma threat mid, high}  Thresholds Low:{0, 0.3], Mid: {0.3, 0.7], High: {0.7,1} Heart rate Sneezing severity Asthma threat level ∏  ∏ ∏ Sensor stream EventShop TwitterCardio device Twitter.com Pollen.com, AQI.com, Twitter
  50. 50. Proprietary and Confidential, Not For8/17/2012 Distribution 53
  51. 51.  Framework tested using applications:  Store location  Political campaign  Flu monitoring  EventShop system:  Operators implemented:  Selection , Arithmetic & Logical, Aggregation , Grouping, Characterization (spatial + temporal), Pattern Matching (spatial + temporal)  Applications tested:  Thai flood relief  Hurricane alerts  Safe locations for Asthmatic patients8/17/2012 54
  52. 52.  Scalability  Data discovery  Application discovery  Conceptual modeling of situations  Richer operation set  User experience Proprietary and Confidential, Not For8/17/2012 Distribution 55
  53. 53.  Make EventShop Robust  Develop system to deal with BIG DATA  Experiment with many applications Proprietary and Confidential, Not For8/17/2012 Distribution 56
  54. 54. Proprietary and Confidential, Not For8/17/2012 Distribution 57
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