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Communication Dans Un Congrès Année : 2016

POL: a Pattern Oriented Load-shedding for semantic data stream processing

Résumé

Nowadays, high volumes of data are generated and published at a very high velocity, producing heterogeneous data streams. This has led researchers to propose new systems named RDF Stream Processors (RSP), to deal with this new kind of streams. Unfortunately, these systems are fallible when their maximum supported speed is reached especially in a limited system resources environment. To overcome these problems, recent efforts have been made in the field. Some of them decrease the volume of RDF data streams using compression or load-shedding techniques, mostly according to a probabilistic approach. In this paper we propose POL: a Pattern Oriented approach to Load-shed data from RDF streams based on a deterministic approach. As a pre-processing task through a unique pass, the approach extracts the exact needed semantic data from the stream. The conducted experiments on public available datasets have demonstrated the effectiveness of our approach.

Domaines

Web
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Dates et versions

hal-01443991 , version 1 (23-01-2017)

Identifiants

Citer

Fethi Belghaouti, Amel Bouzeghoub, Zakia Imane Kazi-Aoul, Raja Chiky. POL: a Pattern Oriented Load-shedding for semantic data stream processing. WISE 2016 : 17th International Conference on Web Information Systems Engineering, Nov 2016, Shanghai, China. pp.157 - 171, ⟨10.1007/978-3-319-48743-4_13⟩. ⟨hal-01443991⟩
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