Roberto Espinosa

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Citizens demand more and more data for making decisions in their daily life. Therefore, mechanisms that allow citizens to understand and analyze linked open data (LOD) in a user-friendly manner are highly required. To this aim, the concept of Open Business Intelligence (OpenBI) is introduced in this position paper. OpenBI facilitates non-expert users to (i)(More)
A successful data mining process depends on the data quality of the sources in order to obtain reliable knowledge. Therefore, prepro-cessing data is required for dealing with data quality criteria. However, preprocessing data has been traditionally seen as a time-consuming and non-trivial task since data quality criteria have to be considered without any(More)
Non-expert users find complex to gain richer insights into the increasingly amount of available data. Advanced data analysis techniques, such as data mining, are difficult to apply due to the fact that (i) a great number of data mining algorithms can be applied to solve the same problem, and (ii) correctly applying data mining techniques always requires(More)
—Data is everywhere, and non-expert users must be able to exploit it in order to extract knowledge, get insights and make well-informed decisions. The value of the discovered knowledge from big data could be of greater value if it is available for later consumption and reusing. In this paper, we present an infrastructure that allows non-expert users to (i)(More)
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