Topology reduction and probabilistic information extraction for large data-sets: A disaster management case study

Marcello Trovati, Eleana Asimakopoulou, Nik Bessis

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

Abstract

The dynamical and probabilistic properties of the relationships among data modelled by real-world networks have drawn extensive research from a several interdisciplinary fields. They, in fact, can successfully identify the main properties of large data-sets. However, a deep analysis of such networks is likely to generate information of little use due to their inherent complexity, as well as the inconsistencies of data modelled by them. In this paper, we discuss the evaluation of a method as part of ongoing research which aims to extract, assess and identify relevant information based on the mutual probabilistic relationships among the data captured by Big Data. In order to validate and support our approach, a large dataset capturing information on the seismological activity provided by the European-Mediterranean Seismological Centre is considered. We will show that this approach provides a scalable, accurate and useful tool to enhance the state of the art research within disaster management. The approach discussed in this paper further supports our effort to create a big data analytics tool aiming to extract actionable intelligence from a variety of big datasets.

Original languageEnglish
Title of host publicationProceedings of the 2015 2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015
EditorsYassine Hadjadj-Aoul
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages116-121
Number of pages6
ISBN (Electronic)9781479999231
DOIs
Publication statusPublished - 8 Feb 2016
Event2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015 - Rennes, Brittany, France
Duration: 30 Nov 20152 Dec 2015

Publication series

NameProceedings of the 2015 2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015

Conference

Conference2nd International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2015
Country/TerritoryFrance
CityRennes, Brittany
Period30/11/152/12/15

Keywords

  • Data analytics
  • Disaster Management
  • Information extraction
  • Knowledge discovery
  • Networks
  • Seismological data

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