observing real world phenomena through event web

Observing Real-World Phenomena through EventWebover Space, Time and Theme

Siripen Pongpaichet*, Mengfan Tang, Laleh Jalali, Ramesh Jain

University of California, Irvine, USA

23rd June, 2014

The ACM Web Science 2014 Conference June 23 to June 26, 2014

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Outline• Motivations & Goals• Space – Time – Theme • Event Protocol• EventShop Framework

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Motivations & Goals• Lack of integration and communication

between the webs -> too much data but not enough knowledge

• Spatial, temporal, and thematic (STT) are the most significant dimensions in the data.

• How to handle interoperability challenge in building Web Observatory?

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Space Time Theme

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Event Protocol Suites

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• Event Host– Capability– Accessibility

• Event Information Object Model– Spatial Metadata– Temporal Metadata– Thematic Metadata

• Event Services

Event Protocol

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Event Services• Events Registration Services– Catalog of available event-related hosts

• STT Metadata Extraction Services– To extract spatial, temporal, and thematic

metadata from heterogeneous data sources• Events Query Services– To search, retrieve, and analyze events

• Events Utilization Services– Data visualization tools and DSS

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Allergy: Events Query

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Interpolation of STT Data using EventShop

• EventShop indexes and organizes all events into a common representation which is a uniformly spaced grid representing space called E-mage, each cell of which captures a value associated with a particular theme at a particular spatio-temporal coordinate.

• Scenario: Asthma Allergy Attack Monitoring

Even

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Info

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Even

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{ "_id" : ObjectId("5355d117e4b0bd9a75b61f7a"), "date" : "2011-10-05", "loc" : { "type" : "Point", "coordinates" : [ -117.01, 44.0194 ] }, "value" : 84.35000000000001 }{ "_id" : ObjectId("5355d117e4b0bd9a75b61f7b"), "date" : "2011-10-02", "loc" : { "type" : "Point", "coordinates" : [ -117.01, 44.0194 ] }, "value" : 47.072083333333325 }

{ "_id" : ObjectId("5355d117e4b0bd9a75b61f7a"), "date" : "2011-10-05", "loc" : { "type" : "Point", "coordinates" : [ -117.01, 44.0194 ] }, "value" : 12.155454 }{ "_id" : ObjectId("5355d117e4b0bd9a75b61f7b"), "date" : "2011-10-02", "loc" : { "type" : "Point", "coordinates" : [ -117.01, 44.0194 ] }, "value" : 20.182323 }

{ "capability":{ "theme":"PM2_5", "space":{"type": "Polygon", "coordinates":[[-124.4096,32.5343],[-124.4096,42.0095] ,[-114.1308,42.0095],[-114.1308, 32.5345]]} "time":{"start":"2010-01-01","end":"2011-12-31"} }}

{ "capability":{ "theme":"Relative Humility", "space":{"type": "Polygon", "coordinates":[[-124.4096,32.5343],[-124.4096,42.0095] ,[-114.1308,42.0095],[-114.1308, 32.5345]]} "time":{"start":"2010-01-01","end":"2011-12-31"} }}

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Interpolation Evaluation

Interpolation of PM2.5 Value on Three Different Models, and the Accuracy Rate

Data Ingesti

on

Personal Situation Recogniti

on

Personal EventShop

Data Ingestion

and aggregati

on

Situation Recogniti

on

EventShop : Global Situation Detection

Evolving Global Situation

Evolving Personal Situation

Recommendation Engine

Wearable Sensors

Calendar

Location

Environmental Sensor Devices

Dat

a So

urce

s

Social Network

….

….

Predictive Analytics Engine

Air Quality

Air Pollution

Micro Situation

Macro Situation

Actionable Information

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Conclusion• Space Time and Theme are the most

fundamental dimensions in observing real-world phenomenal through the EventWeb

• Event Protocol is proposed • EventShop framework and

Allergy/Asthma monitoring system toward Web-Observatory

observing real world phenomena through event web

Data & Analytics