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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Seven commandments for benchmarking semantic flow processing systems
Organization Unit
  • Thomas Scharrenbach
  • Jacopo Urbani
  • Alessandro Margara
  • Emanuele Della Valle
  • Abraham Bernstein
  • Philipp Cimiano
  • Óscar Corcho
  • Valentina Presutti
  • Laura Hollink
  • Sebastian Rudolph
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
ISBN 978-3642382871
ISSN 0302-9743
Page Range 305 - 319
Event Title The Semantic Web: Semantics and Big Data, 10th International Conference, ESWC 2013
Event Type conference
Event Location Montpellier
Event Start Date May 26 - 2013
Event End Date May 30 - 2013
Series Name Lecture Notes in Computer Science
Number 7882
Place of Publication Berlin-Heidelberg
Publisher Springer
Abstract Text Over the last few years, the processing of dynamic data has gained increasing attention in the Semantic Web community. This led to the development of several stream reasoning systems that enable on-the-fly processing of semantically annotated data that changes over time. Due to their streaming nature, analyzing such systems is extremely difficult. Currently, their evaluation is conducted under heterogeneous scenarios, which makes it hard to clearly compare them, understanding the benefits and limitations of each of them. In this paper, we strive for a better understanding the key challenges that these systems must face and define a generic methodology to evaluate their performance. Specifically, we identify three Key Performance Indicators (KPIs) and seven commandments that specify how to design the stress tests for system evaluation.
Digital Object Identifier 10.1007/978-3-642-38288-8_21
Other Identification Number merlin-id:8029
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