Data di Pubblicazione:
2017
Abstract:
This paper provides a structure to the recently intensified
discussion around 'data cubes' as a means to facilitate
management and analysis of very large volumes of
structured geospatial data. The goal is to arrive to a widely
agreed and harmonised definition of a 'data cube'. To this
end, we propose an approach that deconstructs the 'data
cube' concept into distinct aspects. We have identified six
such aspects, which we refer to as the 6 faces of the data
cube. More than a pleasing analogy, these 6 faces are fairly
independent, and hence 'orthogonal' domains. They should
allow breaking down the description and handling of data
cubes into meaningful and manageable 'parts', which
however, only if seen holistically, make it possible to
harness the full potential of this multidisciplinary
infrastructure.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
data cube; structured data; data infrastructure; geospatial data; big data; standardization; INSPIRE; ISO; OGC
Elenco autori:
Nativi, Stefano
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