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A software reference architecture for semantic-aware big data systems

Author
Nadal, S.; Herrero, V.; Romero, O.; Abello, A.; Franch, X.; Vansummeren, S.; Valerio, D.
Type of activity
Journal article
Journal
Information and software technology
Date of publication
2017-10
Volume
90
First page
75
Last page
92
DOI
https://doi.org/10.1016/j.infsof.2017.06.001 Open in new window
Project funding
(GENESIS) Generation and Evolution of Smart APIs
SUpporting evolution and adaptation of PERsonalized Software by Exploiting contextual Data and End-user feedback
Repository
http://hdl.handle.net/2117/108738 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0950584917304287 Open in new window
Abstract
Context: Big Data systems are a class of software systems that ingest, store, process and serve massive amounts of heterogeneous data, from multiple sources. Despite their undisputed impact in current society, their engineering is still in its infancy and companies find it difficult to adopt them due to their inherent complexity. Existing attempts to provide architectural guidelines for their engineering fail to take into account important Big Data characteristics, such as the management, evolut...
Citation
Nadal, S., Herrero, V., Romero, O., Abello, A., Franch, X., Vansummeren, S., Valerio, D. A software reference architecture for semantic-aware big data systems. "Information and software technology", 13 Juny 2016, vol. 90, p. 75-92.
Keywords
Big Data, Data analysis, Data management, Semantic-aware, Software reference architecture
Group of research
DTIM - Database Technologies and lnformation Management Group
GESSI - Group of Software and Service Engineering
IMP - Information Modelling and Processing
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants

Attachments