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A Proximity-Based Semantic Enrichment Approach of Volunteered Geographic Information: A Study Case of Waste of Water

1
Departamento de Informática, Universidade Federal de Viçosa (UFV), Viçosa, MG 36570-900, Brazil
2
Departamento de Informática e Estatística, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC 88040-900, Brazil
*
Author to whom correspondence should be addressed.
Information 2019, 10(7), 234; https://doi.org/10.3390/info10070234
Received: 22 May 2019 / Revised: 19 June 2019 / Accepted: 26 June 2019 / Published: 8 July 2019
(This article belongs to the Special Issue Linked Open Data)
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Abstract

Volunteered geographic information (VGI) refers to geospatial data that is collected and/or shared voluntarily over the Internet. Its use, however, presents many limitations, such as data quality, difficulty in use and recovery. One alternative to improve its use is to use semantic enrichment, which is a process to assign semantic resources to metadata and data. This study proposes a VGI semantic enrichment method using linked data and thesaurus. The method has two stages, one automatic and one manual. The automatic stage links VGI contributions to places that are of interest to users. In the manual stage, a thesaurus in the hydric domain was built based on terms found in VGI. Finally, a process is proposed, which returns semantically similar VGI contributions based on queries made by users. To verify the viability of the proposed method, contributions from the VGI system Gota D’Água, related to water waste prevention, were used. View Full-Text
Keywords: volunteered geographic information; semantic enrichment; linked data; thesaurus volunteered geographic information; semantic enrichment; linked data; thesaurus
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MDPI and ACS Style

da Costa, L.S.; Oliveira, I.L.; Moreira, A.; Lisboa-Filho, J. A Proximity-Based Semantic Enrichment Approach of Volunteered Geographic Information: A Study Case of Waste of Water. Information 2019, 10, 234.

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