In environmental research, data integration plays an important role given the increasing availability of heterogeneous data sources for specific features, such as soil type, climate, geographic location and so on. However, some of those features have inherently imprecise relationships and the lack of a suitable semantic model can be a major obstacle to its effective integration. In this context, this paper presents a semantic data integration system based on a fuzzy ontology, capable of perform query expansions based on imprecise aspects of real phenomena.
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