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Title: Big data semantics
Authors: Ceravolo, Paolo
Azzini, Antonia
Angelini, Marco
Catarci, Tiziana
Cudr-Mauroux, Philippe
Damiani, Ernesto
Mazak, Alexandra
Van Keulen, Maurice
Jarrar, Mustafa
Santucci, Giuseppe
Sattler, Kai-Uwe
Scannapieco, Monica
Wimmer, Manuel
Wrembel, Robert
Zaraket, Fadi A.
Keywords: Big Data
Semantics - Data processing
Electronic data processing
Data structures (Computer science)
Database management
Issue Date: May-2018
Publisher: Springer
Citation: Paolo Ceravolo, Antonia Azzini, Marco Angelini, Tiziana Catarci, Philippe Cudré-Mauroux, Ernesto Damiani, Alexandra Mazak, Maurice Van Keulen, Mustafa Jarrar, Giuseppe Santucci, Kai-Uwe Sattler, Monica Scannapieco, Manuel Wimmer, Robert Wrembel, Fadi Zaraket: Big Data Semantics. Journal on Data Semantics. Volume 7, Issue 2, Pages(65-85), Springer, May 2018. ISSN 1861-2040, (
Series/Report no.: Volume 7, Issue 2
Abstract: Big Data technology has discarded traditional data modeling approaches as no longer applicable to distributed data processing. It is, however, largely recognized that Big Data impose novel challenges in data and infrastructure management. Indeed, multiple components and procedures must be coordinated to ensure a high level of data quality and accessibility for the application layers, e.g., data analytics and reporting. In this paper, the third of its kind co-authored by members of IFIP WG 2.6 on Data Semantics, we propose a review of the literature addressing these topics and discuss relevant challenges for future research. Based on our literature review, we argue that methods, principles, and perspectives developed by the Data Semantics community can significantly contribute to address Big Data challenges
Description: Article published in : Journal on Data Semantics ; June 2018, vol. 7, no. 2, pp. 65–85
ISSN: 1861-2040
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