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

机译：自愿性地理信息的基于邻近度的语义丰富方法：水浪费研究案例

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摘要

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.
机译：自愿地理信息（VGI）是指通过Internet自愿收集和/或共享的地理空间数据。但是，其使用存在许多限制，例如数据质量，使用和恢复困难。改进其使用的一种替代方法是使用语义丰富化，这是将语义资源分配给元数据和数据的过程。这项研究提出了一种使用链接数据和同义词库的VGI语义丰富方法。该方法有两个阶段，一个是自动阶段，一个是手动阶段。自动阶段将VGI贡献链接到用户感兴趣的地方。在手动阶段，根据VGI中的术语建立了水文领域的词库。最后，提出了一个过程，该过程根据用户的查询返回语义相似的VGI贡献。为了验证所提出方法的可行性，使用了VGI系统Gota D'água与水浪费预防相关的贡献。

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