This paper presents a context-aware architecture for Big Data Analytics proposed as an industrial solution in a real setting. In particular, the paper focuses on Big Data for Smart Cities and on Enterprise Content Management (ECM) and extraction of context information from Big Data of document type. It presents the Big Data architecture and discusses some experiments done as part of the Smart Cities Big Data project.

A Text Analytics Architecture for Smart Companies

Mariagrazia Fugini;Jacopo Finocchi;Paolo Locatelli;LECCARDI, FILIPPO;
2019

Abstract

This paper presents a context-aware architecture for Big Data Analytics proposed as an industrial solution in a real setting. In particular, the paper focuses on Big Data for Smart Cities and on Enterprise Content Management (ECM) and extraction of context information from Big Data of document type. It presents the Big Data architecture and discusses some experiments done as part of the Smart Cities Big Data project.
2019 IEEE 28TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE)
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1079804
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
social impact