Exploiting Open Data to Improve the Business Intelligence & Business Discovery Experience

The extent to which data mining tools are able to make efficient use of an open data oriented strategy in a smart city is limited. In a sense that it is not fully automated, incompatible or has to be supervised. These sets of tools may offer the possibility to import a dataset in a certain predefined standardized format, still, they do not make it a part of their workflow and algorithms in a fully unsupervised manner (i.e without ongoing human guidance). In a departure from previous research works, in this paper, we present a middleware architecture that exploits open data as background knowledge by acting as a bridge between data mining tools and open data resources.

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