Cross-Querying LOD Datasets Using Complex Alignments: An Application to Agronomic Taxa (regular paper) - Archive ouverte HAL
Communication Dans Un Congrès Année : 2017

Cross-Querying LOD Datasets Using Complex Alignments: An Application to Agronomic Taxa (regular paper)

Résumé

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 et versions

hal-02102384 , version 1 (17-04-2019)

Identifiants

Citer

Elodie Thiéblin, Fabien Amarger, Nathalie Jane Hernandez, Catherine Roussey, Cassia Trojahn dos Santos. Cross-Querying LOD Datasets Using Complex Alignments: An Application to Agronomic Taxa (regular paper). 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-02102384⟩
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