loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Patrícia Carolina Neves Azevedo 1 ; Guilherme Sousa Bastos 2 and Fernando Silva Parreiras 3

Affiliations: 1 CPRM and FUMEC University, Brazil ; 2 Federal University of Itajubá, Brazil ; 3 FUMEC University, Brazil

Keyword(s): Linked Open Data, Geographical Information System, Flood, Semantic Web.

Related Ontology Subjects/Areas/Topics: Applications ; Pattern Recognition ; Web Applications

Abstract: The availability of open government data offers an easy way to mix and match these data to create new knowledge. Geographic Information Systems powered by Semantic Web technologies and linked data result in an integration of data from multiple sources, facilitating its use and enhancing the discovery and dissemination of new knowledge. In this work, we present a prototype application that integrates heterogeneous data located in various public organizations, related to flooding in Rio Doce Basin – Brazil. For this purpose, data were converted to RDF format, linked and displayed on a Geographic Information System, through SPARQL queries. We validate our approach using a proof of concept. The results show that our proposal of liking open data about flood information is able to answer the identified competency questions.

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 3.17.183.24

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:
Carolina Neves Azevedo, P.; Sousa Bastos, G. and Silva Parreiras, F. (2015). A Linked Open Data Approach for Visualizing Flood Information - A Case Study of the Rio Doce Basin in Brazil. In Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-099-4; ISSN 2184-500X, SciTePress, pages 227-232. DOI: 10.5220/0005465502270232

@conference{gistam15,
author={Patrícia {Carolina Neves Azevedo}. and Guilherme {Sousa Bastos}. and Fernando {Silva Parreiras}.},
title={A Linked Open Data Approach for Visualizing Flood Information - A Case Study of the Rio Doce Basin in Brazil},
booktitle={Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2015},
pages={227-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005465502270232},
isbn={978-989-758-099-4},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - A Linked Open Data Approach for Visualizing Flood Information - A Case Study of the Rio Doce Basin in Brazil
SN - 978-989-758-099-4
IS - 2184-500X
AU - Carolina Neves Azevedo, P.
AU - Sousa Bastos, G.
AU - Silva Parreiras, F.
PY - 2015
SP - 227
EP - 232
DO - 10.5220/0005465502270232
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic