Data extraction from textual sources: an approach for enriching interlinked open data

• Karen Torres Teixeira UFRJ
• Maria Luiza Machado Campos UFRJ
• João C. P. da Silva UFRJ

DOI: https://doi.org/10.5753/semish.2018.3435

Abstract

In the Web of Data, data items are interconnected and associated with descriptive annotations, taking advantage of a representation in the form of triples. In this context, documents and other textual sources can be annotated to be incorporated into this universe as resources or serving as sources for extracting new triples. The purpose of this article is to present an approach for data extraction and triple generation from texts with specific styles, aiming at their association and connection to existing databases. The approach was applied and evaluated in the context of a portal with information on the consumption of pesticides in Brazil.

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