A methodology for the publication of agricultural alert bulletins as LOD

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.