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Annotating Microblog Posts with Sensor Data for Emergency Reporting Applications
1. Digital Enterprise Research Institute www.deri.ie
Annotating Microblog Posts with
Sensor Data for Emergency
Reporting Applications
David N. Crowley, Alexandre Passant,
John G. Breslin
Electrical & Electronic Engineering
Copyright 2011 Digital Enterprise Research Institute. All rights reserved.
College of Engineering and Informatics
Enabling Networked Knowledge
2. Why Microblogging?
Digital Enterprise Research Institute www.deri.ie
Short format – 140 characters
Mobile Web or Mobile Apps available for most phones/all
smartphones
(Almost) Real-Time Posts
Removes barriers to posting – short/mobile
User Growth (Twitter)
Enabling Networked Knowledge
3. Why Twitter?
Digital Enterprise Research Institute www.deri.ie
100 million active users
Growth from 65 to 200 million posts per day in 1 year
Available in many languages (11), most countries
Information Network/Social Network
Twitter APIs
Twitter Annotations
Enabling Networked Knowledge
4. Twitter Annotations
Digital Enterprise Research Institute www.deri.ie
forthcoming initiative by Twitter
attach arbitrary metadata to any tweet
Low limit to begin then expanding
Going beyond geotemporal annotations
“type”:{“attribute”:”value”}
“type”:{“title”:”avatar”}
Enabling Networked Knowledge
12. Modelling Mobile Sensors
Digital Enterprise Research Institute www.deri.ie
Activity
Walking/Running/Standing
Car/Bike (Moving/In Traffic)
Direction
Compass – Orientation of device
Noise Levels
Location through Wi-fi (without GPS)
Light Levels
Temperature
Pressure
Enabling Networked Knowledge
13. Scenario
Digital Enterprise Research Institute www.deri.ie
Emergency Situation
London Riots
Natural Disasters
User can enter “Emergency Mode” in Semantic
Microblogging application on mobile Device
All sensor metadata available attached to post
– And available to Emergency Teams
User direction (traveling or facing)
Recent activity
Noise levels
Light levels
Enabling Networked Knowledge
14. Challenges
Digital Enterprise Research Institute www.deri.ie
Privacy – User data
Quality of data
Availability of data
Modelling sensors to add context
Sensors of varying type
Varying frequency
Aggregating/modelling sensor data over time
Data reliability – provenance? – user profiling?
Usability – low effort posting of metadata
Enabling Networked Knowledge
15. Future Work
Digital Enterprise Research Institute www.deri.ie
Survey – to evaluate users’ desire to share
sensor data
Build Mobile Semantic Microblogging application
Model sensors (Android devices)
Create User Evaluations of application
Different scenarios – traffic applications
Enabling Networked Knowledge