Cross-Querying LOD Datasets Using Complex Alignments: An Application to Agronomic Taxa

Élodie Thiéblin, Fabien Amarger, Nathalie Hernandez, Catherine Roussey, Cássia Trojahn dos Santos

Abstract: Farmers have new information needs to change their agricultural practices. The Linked Open Data is a considerable source of knowledge, separated into several heterogeneous and complementary datasets. This paper presents a process to query LOD datasets from a known ontology using complex alignments. The approach was applied on AgronomicTaxon, a taxonomic classification ontology, to query Agrovoc and DBpedia.