TY - GEN
T1 - Load shedding semantic data streams
T2 - Quinzieme Conference Internationale Francophone sur l'Extraction et la Gestion des Connaissances, EGC 2015 - 15th International French-Speaking Conference on Knowledge Extraction and Management, EGC 2015
AU - Belghaouti, Fethi
AU - Bouzeghoub, Amel
AU - Kazi-Aoul, Zakia
AU - Chiky, Raja
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Nowadays, processing online massive data streams with special techniques like load shedding is an unavoidable alternative to optimize system resources use. In this paper, we propose a graph-oriented approach for load shedding semantic data streams. Our approach, unlike the RDF triple based one, preserves the semantic level of the data streams, which improves the responses quality of the RDF data stream processing systems.
AB - Nowadays, processing online massive data streams with special techniques like load shedding is an unavoidable alternative to optimize system resources use. In this paper, we propose a graph-oriented approach for load shedding semantic data streams. Our approach, unlike the RDF triple based one, preserves the semantic level of the data streams, which improves the responses quality of the RDF data stream processing systems.
UR - https://www.scopus.com/pages/publications/84994592309
M3 - Conference contribution
AN - SCOPUS:84994592309
T3 - Revue des Nouvelles Technologies de l'Information
SP - 485
EP - 486
BT - Extraction et Gestion des Connaissances, EGC 2015
PB - Hermann-Editions
Y2 - 27 January 2015 through 30 January 2015
ER -