In recent years, a great deal of interest has been shown toward big data. Much of the work on big data has focused on volume and velocity in order to consider dataset size. Indeed, the problems of variety, velocity, and veracity are equally important in dealing with the heterogeneity, diversity, and complexity of data, where semantic technologies can be explored to deal with these issues. This Special Issue aims at discussing emerging approaches from academic and industrial stakeholders for disseminating innovative solutions that explore how big data can leverage semantics, for example, by examining the challenges and opportunities arising from adapting and transferring semantic technologies to the big data context.

Foreword to the Special Issue: "Semantics for Big Data Integration" / Beneventano, Domenico; Vincini, Maurizio. - In: INFORMATION. - ISSN 2078-2489. - 10:2(2019), pp. 1-3. [10.3390/info10020068]

Foreword to the Special Issue: "Semantics for Big Data Integration"

Domenico Beneventano
;
Maurizio Vincini
2019-01-01

Abstract

In recent years, a great deal of interest has been shown toward big data. Much of the work on big data has focused on volume and velocity in order to consider dataset size. Indeed, the problems of variety, velocity, and veracity are equally important in dealing with the heterogeneity, diversity, and complexity of data, where semantic technologies can be explored to deal with these issues. This Special Issue aims at discussing emerging approaches from academic and industrial stakeholders for disseminating innovative solutions that explore how big data can leverage semantics, for example, by examining the challenges and opportunities arising from adapting and transferring semantic technologies to the big data context.
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Foreword to the Special Issue: "Semantics for Big Data Integration" / Beneventano, Domenico; Vincini, Maurizio. - In: INFORMATION. - ISSN 2078-2489. - 10:2(2019), pp. 1-3. [10.3390/info10020068]
Beneventano, Domenico; Vincini, Maurizio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1175125
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