@inproceedings{a71f06d1edfa407891096323f287958f,
title = "Designing a Subscription Service for Earthquake Big Data Analysis from Multiple Sources",
abstract = "The unpredictable nature of earthquakes has been a challenge for many researchers for a long time. Earthquakes take place suddenly and quickly, leaving scientists little time to prepare for it. This is due to the inescapable realization of the fact that much information can be deciphered from the huge volume of data being generated from numerous heterogeneous sources by the second. This paper investigates the acquisition of earthquake data, processing of such data and making it available to subscribers who need information generated from a Big Data analysis process. It uses FIWARE Big Data Generic Enabler and relies on the Message Broker GE to notify subscribers. Finally, we present a prototype for a worldwide Earthquake seismic activity monitoring.",
keywords = "Big Data, Earthquake Data, FIWARE, Future Internet, Unstructured Data",
author = "Oladotun Omosebi and Stelios Sotiriadis and Eleana Asimakopoulou and Nik Bessis and Marcelo Trovati and Richart Hill",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2015 ; Conference date: 04-11-2015 Through 06-11-2015",
year = "2015",
month = nov,
day = "6",
doi = "10.1109/3PGCIC.2015.58",
language = "English",
series = "Proceedings - 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "601--604",
editor = "Fabrizio Messina and Fatos Xhafa and Ogiela, {Marek R.} and Leonard Barolli",
booktitle = "Proceedings - 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2015",
address = "United States",
}