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IoT and semantic web technologies for event detection in natural disasters
Author(s) -
Greco Luca,
Ritrovato Pierluigi,
Tiropanis Thanassis,
Xhafa Fatos
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4789
Subject(s) - computer science , semantic web , event (particle physics) , damages , context (archaeology) , social semantic web , natural disaster , semantic technology , process (computing) , the internet , world wide web , data science , linked data , contest , paleontology , physics , quantum mechanics , political science , meteorology , law , biology , operating system
Summary Natural disasters cannot be predicted well in advance, but it is still possible to decrease the loss of life and mitigate the damages, exploiting some peculiarities that distinguish them. Smart collection, integration, and analysis of data produced by distributed sensors and services are key elements for understanding the context and supporting decision making process for disaster prevention and management. In this paper, we demonstrate how Internet of Things and Semantic Web technologies can be effectively used for abnormal event detection in the contest of an earthquake. In our proposal, a prototype system, which retrieves the data streams from IoT sensors and web services, is presented. In order to contextualize and give a meaning to the data, semantic web technologies are applied for data annotation. We evaluate our system performances by measuring the response time and other parameters that are important in a disaster detection scenario.