Gustavo F. Afonso

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Data integration becomes even more necessary given the increasing availability of data from distributed and heterogeneous sources. To address such heterogeneity, crisp ontologies have been employed in order to represent the semantics of integrated data. However, it is interesting to use fuzzy logic concepts in these ontologies, for a more expressive(More)
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(More)
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