Getting across information communities |
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Authors: | Patrick Maué Jens Ortmann |
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Institution: | 1. Institute for Geoinformatics (IFGI), University of Münster, Weseler Str. 253, 48151, Münster, Germany
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Abstract: | Amazon’s deforestation affects citizens from varying information communities. Experts like scientists or journalists acquire
relevant data on-site and publish valuable information on the Web. But different and sometimes conflicting views on reality
impede sharing of information across communities, relevant content remains far too often undiscovered. We introduce rule-based
semantic annotations as solution to facilitate the discovery and evaluation of geographical information. With the distinction
between shared domain and local information source ontologies, the proposed architecture of a semantically supported SDI for
the Amazon also takes the plethora of GI formats into account. Creating semantic annotations is challenging, a recommender
system for semantic annotations enables even the non-IT experts to participate. The benefits of the proposed techniques are
further illustrated by a scenario which spans across information communities of economics, ecology, and ethnology. |
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