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dc.contributor.authorStößel, Bastianen_US
dc.contributor.authorRabot, Evaen_US
dc.contributor.authorRichter, Felixen_US
dc.contributor.authorWeller, Ulrichen_US
dc.contributor.authorVogel, Hans-Jörgen_US
dc.contributor.editorAnna Puig Puig and Tobias Isenbergen_US
dc.date.accessioned2017-06-12T05:17:49Z
dc.date.available2017-06-12T05:17:49Z
dc.date.issued2017
dc.identifier.isbn978-3-03868-044-4
dc.identifier.urihttp://dx.doi.org/10.2312/eurp.20171154
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20171154
dc.description.abstractSoil is a highly complex system. Myriads of articles are published each year on soil processes and properties, interactions between them and management practices influencing them. But, because of the sheer mass of information and the complexity of the system, it is hard to maintain an overview of reliable information on these interactions and their sensitivity to external forcings. To collect, structure and visualize scientific results on functional relationships, we develop a system based on a mySQL database, a soil thesaurus and two JavaScript-driven visualizations. The system is fueled by a comprehensive soil literature review and currently being organized as a community effort to improve the understanding of the soil system and support users in finding information on functional relationships and knowledge gaps in soil science.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectJ.2 [Computer Applications]
dc.subjectPhysical sciences and engineering
dc.subjectEarth and atmospheric sciences E.1 [Data]
dc.subjectData structures
dc.subjectGraphs and networks H.3.4 [Information systems]
dc.subjectInformation storage and retrieval
dc.subjectSystems and software
dc.subjectInformation networks
dc.titleStructuring and Visualizing Knowledge in Soil Scienceen_US
dc.description.seriesinformationEuroVis 2017 - Posters
dc.description.sectionheadersPosters
dc.identifier.doi10.2312/eurp.20171154
dc.identifier.pages1-3


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