Special issue on Semantic Technologies for Collaborative Web

2016 ◽  
Vol 54 ◽  
pp. 344-347 ◽  
Author(s):  
Rodrigo Bonacin ◽  
Nicoletta Dessì ◽  
Maria Grazia Fugini ◽  
Olga Nabuco ◽  
Marcos Renato da Silveira
2014 ◽  
Vol 95 ◽  
pp. 1-2 ◽  
Author(s):  
Rafael Valencia-García ◽  
Alejandro Rodríguez-González ◽  
Ricardo Colomo-Palacios

2014 ◽  
Vol 32 ◽  
pp. 260-262 ◽  
Author(s):  
Ricardo Colomo-Palacios ◽  
Vladimir Stantchev ◽  
Alejandro Rodríguez-González

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 68 ◽  
Author(s):  
Domenico Beneventano ◽  
Maurizio Vincini

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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