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Agronomic taxon

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Conference object 03 Jun 2013 France Publisher:ACMJournal:Proceedings of the 2nd International Workshop on Open Data

Authors: Roussey, Catherine; Chanet, Jean-Pierre; Cellier, Vincent; Amarger, Fabien;

doi: 10.1145/2500410.2500415

Agronomic taxon

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Abstract

In this paper, we describe the development of the first ontology module for observation of pest attacks in crop production. We applied the NeOn methodology and more particularly the ontology engineering method based on Ontology Design Pattern.

Country

France

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Keywords

[SDE] Environmental Sciences, Logique en informatique, Design Pattern, Informatique et langage, Agriculture, Modular Ontology;LOD;Design Pattern;Agriculture, Modular Ontology, Intelligence artificielle, Apprentissage, [SDV] Life Sciences [q-bio], INKED OPEN DATA, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, LOD

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average