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Semantic Publication of Agricultural Scientific Literature Using Property Graphs
2020
Applied Sciences
During the last decades, there has been significant changes in science that have provoked a big increase in the number of articles published every year. This increment implies a new difficulty for scientists, who have to do an extra effort for selecting literature relevant for their activity. In this work, we present a pipeline for the generation of scientific literature knowledge graphs in the agriculture domain. The pipeline combines Semantic Web and natural language processing technologies,
doi:10.3390/app10030861
fatcat:4ph46nkc5be3vl5z7kp4oe4xuy