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Tesi etd-04202015-135740


Thesis type
Tesi di laurea magistrale
Author
BELLOMO, SALVATORE
URN
etd-04202015-135740
Title
Leveraging opportunistic crowd-sensing to achieve situation-awareness: A platform for gathering eyewitness reports from social media users in the aftermath of emergencies.
Struttura
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA INFORMATICA PER LA GESTIONE D'AZIENDA
Commissione
relatore Prof. Avvenuti, Marco
correlatore Tesconi, Maurizio
correlatore Dott.ssa La Polla, Mariantonietta Noemi
Parole chiave
  • social sensing
  • crowdsensing
  • opportunistic sensing
  • participatory sensing
  • social mining
Data inizio appello
08/05/2015;
Consultabilità
completa
Riassunto analitico
Our project aims to create, implement and deploy a platform based on a decision support system for gathering eyewitness reports to improve the situation-awareness in the aftermath of an emergency, focusing in particular on earthquakes. While doing so, we would like to find out if an approach combining opportunistic and participatory sensing methods is possible. Our system, in fact, focuses on detecting eyewitnesses with an opportunistic approach and then aims to transform these potential eyewitnesses into volunteers willing to share information.<br> <br>The platform retrieves earthquake notifications from an official channel and, immediately after, exploits the messages shared on Twitter for a fixed time-slot. In doing so, we collect messages posted by potential eyewitnesses. Data mining and natural language processing techniques are performed in order to select meaningful and comprehensive sets of tweets. We then concentrate on the filtered tweets in order to try to engage with their authors and enhance situation awareness. <br><br>Information retrieved by our system can be extremely useful to all the government agencies interested in mitigating the impact of earthquakes, as well as news agencies looking for new information to publish.<br>
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