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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Notes
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Ontologies are defined as semantic web data schema.
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The W3C recommandationhttps://www.w3.org/TR/sparql11-query/ for a query and update language for the Semantic Web.
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We will use the prefix agro for the reference of this ontology.
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http://dbpedia.org/prefixes: dbo (\(\mathcal {T}box\)), dbr (\(\mathcal {A}box\)).
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http://aims.fao.org/aos/agrovoc/, prefixes: agronto (\(\mathcal {T}box\)), agrovoc (\(\mathcal {A}box\)).
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This work is partially supported by the French FUI SparkinData project.
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Thiéblin, E., Amarger, F., Hernandez, N., Roussey, C., Trojahn Dos Santos, C. (2017). Cross-Querying LOD Datasets Using Complex Alignments: An Application to Agronomic Taxa. In: Garoufallou, E., Virkus, S., Siatri, R., Koutsomiha, D. (eds) Metadata and Semantic Research. MTSR 2017. Communications in Computer and Information Science, vol 755. Springer, Cham. https://doi.org/10.1007/978-3-319-70863-8_3
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