loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Paulo H. Oliveira ; Antonio C. Fraideinberze ; Natan A. Laverde ; Hugo Gualdron ; Andre S. Gonzaga ; Lucas D. Ferreira ; Willian D. Oliveira ; Jose F. Rodrigues-Jr. ; Robson L. F. Cordeiro ; Caetano Traina Jr. ; Agma J. M. Traina and Elaine P. M. Sousa

Affiliation: University of Sao Paulo, Brazil

ISBN: 978-989-758-187-8

Keyword(s): Crisis Situation, Crisis Management, Relational Database Management System, Similarity Query.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Group Decision Support Systems ; Human-Computer Interaction ; Multimedia Systems ; Query Languages and Query Processing ; Sensor Networks ; Signal Processing ; Soft Computing ; Strategic Decision Support Systems

Abstract: Crowdsourcing solutions can be helpful to extract information from disaster-related data during crisis management. However, certain information can only be obtained through similarity operations. Some of them also depend on additional data stored in a Relational Database Management System (RDBMS). In this context, several works focus on crisis management supported by data. Nevertheless, none of them provide a methodology for employing a similarity-enabled RDBMS in disaster-relief tasks. To fill this gap, we introduce a methodology together with the Data-Centric Crisis Management (DCCM) architecture, which employs our methods over a similarity-enabled RDBMS. We evaluate our proposal through three tasks: classification of incoming data regarding current events, identifying relevant information to guide rescue teams; filtering of incoming data, enhancing the decision support by removing near-duplicate data; and similarity retrieval of historical data, supporting analytical comprehension of the crisis context. To make it possible, similarity-based operations were implemented within one popular, open-source RDBMS. Results using real data from Flickr show that our proposal is feasible for real-time applications. In addition to high performance, accurate results were obtained with a proper combination of techniques for each task. Hence, we expect our work to provide a framework for further developments on crisis management solutions. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.189.171

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Oliveira, P. H.; Fraideinberze, A.; Laverde, N.; Gualdron, H.; Gonzaga, A.; Ferreira, L.; Oliveira, W.; Rodrigues-Jr., J.; Cordeiro, R.; Traina Jr., C.; Traina, A. and Sousa, E. (2016). On the Support of a Similarity-enabled Relational Database Management System in Civilian Crisis Situations.In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-187-8, pages 119-126. DOI: 10.5220/0005816701190126

@conference{iceis16,
author={Oliveira, P. H. and Antonio C. Fraideinberze. and Natan A. Laverde. and Hugo Gualdron. and Andre S. Gonzaga. and Lucas D. Ferreira. and Willian D. Oliveira. and Jose F. Rodrigues{-}Jr.. and Robson L. F. Cordeiro. and Caetano Traina Jr.. and Agma J. M. Traina. and Elaine P. M. Sousa.},
title={On the Support of a Similarity-enabled Relational Database Management System in Civilian Crisis Situations},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2016},
pages={119-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005816701190126},
isbn={978-989-758-187-8},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - On the Support of a Similarity-enabled Relational Database Management System in Civilian Crisis Situations
SN - 978-989-758-187-8
AU - Oliveira, P. H.
AU - Fraideinberze, A.
AU - Laverde, N.
AU - Gualdron, H.
AU - Gonzaga, A.
AU - Ferreira, L.
AU - Oliveira, W.
AU - Rodrigues-Jr., J.
AU - Cordeiro, R.
AU - Traina Jr., C.
AU - Traina, A.
AU - Sousa, E.
PY - 2016
SP - 119
EP - 126
DO - 10.5220/0005816701190126

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.