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Conference Papers Year : 2017

Cross-querying LOD data-sets using complex alignments: an application to agronomic taxa

Interrogation simultanée de plusieurs jeux de données à l'aide d'alignements complexes: application aux taxons agronomiques

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.
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Dates and versions

hal-02607283 , version 1 (16-05-2020)

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Elodie Thiéblin, Fabien Amarger, Nathalie Jane Hernandez, Catherine Roussey, Cassia Trojahn. Cross-querying LOD data-sets using complex alignments: an application to agronomic taxa. 11th International Conference on Metadata and Semantics Research (MTSR 2017), Nov 2017, Tallinn, Estonia. pp.25-37, ⟨10.1007/978-3-319-70863-8_3⟩. ⟨hal-02607283⟩
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