Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/5685
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
Source: 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, (doi.org/10.1007/s13740-018-0086-2).
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Abstract: Big Data technology has discarded traditional data modeling approaches as no longer applicable to distributed data processing.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
URI: http://www.jarrar.info/publications/BigDataSemantics.pdf
http://hdl.handle.net/20.500.11889/5685
ISSN: 1861-2040
Appears in Collections:Fulltext Publications

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