A TWITTER-INTEGRATED WEB SYSTEM TO AGGREGATE AND PROCESS EMERGENCY-RELATED DATA
A major challenge when encountering time-sensitive, information critical emergencies is to source raw volunteered data from on-site public sources and extract information which can enhance awareness on the emergency itself from a geographical context. This research explores the use of Twitter in...
Saved in:
Main Author: | |
---|---|
Format: | Final Year Project |
Language: | English |
Published: |
UNIVERSITI TEKNOLOGI PETRONAS
2012
|
Online Access: | http://utpedia.utp.edu.my/6347/1/FYP2%20Dissertation%20Yong%20Chang%20Yi%2012906.pdf http://utpedia.utp.edu.my/6347/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-utp-utpedia.6347 |
---|---|
record_format |
eprints |
spelling |
my-utp-utpedia.63472017-01-25T09:40:20Z http://utpedia.utp.edu.my/6347/ A TWITTER-INTEGRATED WEB SYSTEM TO AGGREGATE AND PROCESS EMERGENCY-RELATED DATA YONG , CHANG YI A major challenge when encountering time-sensitive, information critical emergencies is to source raw volunteered data from on-site public sources and extract information which can enhance awareness on the emergency itself from a geographical context. This research explores the use of Twitter in the emergency domain by developing a Twitter-integrated web system capable of aggregating and processing emergency-related tweet data. The objectives of the project are to collect volunteered tweet data on emergencies by public citizen sources via the Twitter API, process the data based on geo-location information and syntax into organized informational entities relevant to an emergency, and subsequently deliver the information on a map-like interface. The web system framework is targeted for use by organizations which seek to transform volunteered emergency-related data available on the Twitter platform into timely, useful emergency alerts which can enhance situational awareness, and is intended to be accessible to the public through a user-friendly web interface. Rapid Application Development (RAD) is the methodology of choice for project development. The developed system has a system usability scale score of 84.25, after results were tabulated from a usability survey on 20 respondents. Said system is best for use in emergencies where the transmission timely, quantitative data is of paramount importance, and is a useful framework on extracting and displaying useful emergency alerts with a geographical perspective based on volunteered citizen Tweets. It is hoped that the project can ultimately contribute to the existing domain of knowledge on social media-assisted emergency applications. UNIVERSITI TEKNOLOGI PETRONAS 2012-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/6347/1/FYP2%20Dissertation%20Yong%20Chang%20Yi%2012906.pdf YONG , CHANG YI (2012) A TWITTER-INTEGRATED WEB SYSTEM TO AGGREGATE AND PROCESS EMERGENCY-RELATED DATA. UNIVERSITI TEKNOLOGI PETRONAS, UNIVERSITI TEKNOLOGI PETRONAS. (Unpublished) |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Electronic and Digitized Intellectual Asset |
url_provider |
http://utpedia.utp.edu.my/ |
language |
English |
description |
A major challenge when encountering time-sensitive, information critical
emergencies is to source raw volunteered data from on-site public sources and
extract information which can enhance awareness on the emergency itself from a
geographical context. This research explores the use of Twitter in the emergency
domain by developing a Twitter-integrated web system capable of aggregating and
processing emergency-related tweet data. The objectives of the project are to collect
volunteered tweet data on emergencies by public citizen sources via the Twitter API,
process the data based on geo-location information and syntax into organized
informational entities relevant to an emergency, and subsequently deliver the
information on a map-like interface. The web system framework is targeted for use
by organizations which seek to transform volunteered emergency-related data
available on the Twitter platform into timely, useful emergency alerts which can
enhance situational awareness, and is intended to be accessible to the public through
a user-friendly web interface. Rapid Application Development (RAD) is the
methodology of choice for project development. The developed system has a system
usability scale score of 84.25, after results were tabulated from a usability survey on
20 respondents. Said system is best for use in emergencies where the transmission
timely, quantitative data is of paramount importance, and is a useful framework on
extracting and displaying useful emergency alerts with a geographical perspective
based on volunteered citizen Tweets. It is hoped that the project can ultimately
contribute to the existing domain of knowledge on social media-assisted emergency
applications. |
format |
Final Year Project |
author |
YONG , CHANG YI |
spellingShingle |
YONG , CHANG YI A TWITTER-INTEGRATED WEB SYSTEM TO AGGREGATE AND PROCESS EMERGENCY-RELATED DATA |
author_facet |
YONG , CHANG YI |
author_sort |
YONG , CHANG YI |
title |
A TWITTER-INTEGRATED WEB SYSTEM TO AGGREGATE
AND PROCESS EMERGENCY-RELATED DATA |
title_short |
A TWITTER-INTEGRATED WEB SYSTEM TO AGGREGATE
AND PROCESS EMERGENCY-RELATED DATA |
title_full |
A TWITTER-INTEGRATED WEB SYSTEM TO AGGREGATE
AND PROCESS EMERGENCY-RELATED DATA |
title_fullStr |
A TWITTER-INTEGRATED WEB SYSTEM TO AGGREGATE
AND PROCESS EMERGENCY-RELATED DATA |
title_full_unstemmed |
A TWITTER-INTEGRATED WEB SYSTEM TO AGGREGATE
AND PROCESS EMERGENCY-RELATED DATA |
title_sort |
twitter-integrated web system to aggregate
and process emergency-related data |
publisher |
UNIVERSITI TEKNOLOGI PETRONAS |
publishDate |
2012 |
url |
http://utpedia.utp.edu.my/6347/1/FYP2%20Dissertation%20Yong%20Chang%20Yi%2012906.pdf http://utpedia.utp.edu.my/6347/ |
_version_ |
1739831338686480384 |
score |
13.211869 |