Data triplification of Zika news
Abstract
The objective of this work was to build a thematic database about Zika news, gathered from on-line sources such as newspapers, blogs and forums. After explaining the collecting and gathering process it is intended to show how to apply semantic web concepts in order to triplify, connect and perform queries on that database. The motivation of this work is to relate different data, such as authors, locations and news to understand the impacts of this disease in social media.
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