Towards an Architecture for Managing Big Semantic Data in Real-Time

Carlos E. Cuesta; Miguel A. Martínez-Prieto; Javier David Fernandez Garcia

Towards an Architecture for Managing Big Semantic Data in Real-Time

Carlos E. Cuesta
, Miguel A. Martínez-Prieto
, Javier David Fernandez Garcia

Institute for Data, Process and Knowledge Management (AE Polleres)

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Original language	English
Title of host publication	European Conference on Software Architecture (ECSA)
Editors	Springer Berlin Heidelberg
Place of Publication	Montpellier, France
Publisher	Springer
Pages	45 - 53
Volume	7957
Publication status	Published - 1 Apr 2013

Austrian Classification of Fields of Science and Technology (ÖFOS)

502050 Business informatics
102001 Artificial intelligence
102
102015 Information systems

Cite this

@inproceedings{185b26b1002745418989bec846b9716b,

title = "Towards an Architecture for Managing Big Semantic Data in Real-Time",

author = "\{E. Cuesta\}, Carlos and \{A. Mart{\'i}nez-Prieto\}, Miguel and \{Fernandez Garcia\}, \{Javier David\}",

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Towards an Architecture for Managing Big Semantic Data in Real-Time. / E. Cuesta, Carlos; A. Martínez-Prieto, Miguel; Fernandez Garcia, Javier David.
European Conference on Software Architecture (ECSA). ed. / Springer Berlin Heidelberg. Vol. 7957 Montpellier, France: Springer, 2013. p. 45 - 53.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

TY - GEN

T1 - Towards an Architecture for Managing Big Semantic Data in Real-Time

AU - E. Cuesta, Carlos

AU - A. Martínez-Prieto, Miguel

AU - Fernandez Garcia, Javier David

PY - 2013/4/1

Y1 - 2013/4/1

UR - http://dataweb.infor.uva.es/wp-content/uploads/2013/04/ecsa2013.pdf

M3 - Contribution to conference proceedings

VL - 7957

SP - 45

EP - 53

BT - European Conference on Software Architecture (ECSA)

A2 - Springer Berlin Heidelberg, null

PB - Springer

CY - Montpellier, France

ER -

Towards an Architecture for Managing Big Semantic Data in Real-Time

Austrian Classification of Fields of Science and Technology (ÖFOS)

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Cite this