| Abstract |
Nowadays, a great deal of attention is devoted to the relevant problem of supporting big data analytics from social systems (e.g., social networks, smart city applications, skill management platforms, and so forth). Following this innovative trend, the opportunity of adopting advanced OLAP-based tools for supporting the knowledge extraction phase from big social data represents the new frontiers for big social data computing. Indeed, the well-known features of multidimensional data analysis are able to support a "rich"extraction of actionable knowledge, beyond actual limitations of alternative procedural approaches. In line with this emerging research challenge, this paper explores benefits, limitations and challenges of OLAP-based big data analytics tools over (big) social data. © 2020 ACM. |
