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Une méthodologie pour la publication des bulletins de santé du végétal sur le LOD

Abstract : In this pa­per, we pre­sent our Se­man­tic Web sys­tem for the stor­age of 19,448 agri­cul­tural alert bul­letins in France. The archive of alert bul­letins was pub­lished on the Web as Linked Open Data (LOD). LOD uses Se­man­tic Web tech­nolo­gies to pub­lish data on the Web. Some best prac­tices for pub­lish­ing Linked Data are al­ready pro­posed. We en­rich these best prac­tices in or­der to meet some spe­cific in­for­ma­tion re­trieval needs: spa­tiotem­po­ral and the­matic an­no­ta­tions and ag­gre­ga­tion in­di­ca­tors. We il­lus­trate our pro­posal by the pub­li­ca­tion of our archive. We de­scribe our method­ol­ogy for build­ing the sys­tem and high­light the in­ter­est re­gard­ing Se­man­tic Web tech­nolo­gies for this agri­cul­tural alert stor­age, pub­li­ca­tion and analy­sis. To prove that our sys­tem an­swers our needs, we pro­pose some queries to il­lus­trate the cal­cu­la­tion of spa­tiotem­po­ral ag­gre­ga­tion in­di­ca­tors.
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Catherine Roussey, B. Stephan, François Pinet, X. Reboud, Vincent Cellier, et al.. Une méthodologie pour la publication des bulletins de santé du végétal sur le LOD. Computers and Electronics in Agriculture, Elsevier, 2017, 142, pp.632-650. ⟨10.1016/j.compag.2017.10.022⟩. ⟨hal-02606598⟩



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