Write a Blog >>

Web applications that combine dynamic data stream with distributed background data are getting a growing attention in recent years. Answering in a timely fashion, i.e., reactiveness, is one of the most important performance indicators for those applications. The Semantic Web community showed that RDF Stream Processing (RSP) is an adequate framework to develop this type of applications. However, RSP engines may lose their reactiveness due to the time necessary to access the background data when it is distributed over the Web. State-of-the-art RSP engines remain reactive using a local replica of the background data, but it progressively becomes stale if not updated to reflect the changes in the remote background data. For this reason, recently, the RSP community has investigated maintenance policies of the local replica that guarantee reactiveness while maximizing the freshness of the replica. Previous works simplified the problem with several assumptions. In this paper, we investigate how to remove some of those simplification assumptions. In particular, we target a class of queries for which multiple policies may be used simultaneously and we show that rank aggregation can be effectively used to fairly consider their alternative suggestions. We provide extensive empirical evidence that rank aggregation is key to move a step forward to the practical solution of this problem in the RSP context.

Fri 23 Jun
Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:30 - 12:10: Session 5: Learning, Automation and IntegrationDEBS Research Papers at Sala d'Actes, Vertex Building
Chair(s): Martin HirzelIBM Research
10:30 - 10:55
Talk
Event Forecasting with Pattern Markov Chains. (Research Paper)
DEBS Research Papers
Elias AlevizosNCSR Demokritos, Institute of Informatics and Telecommunications, Alexander ArtikisUniversity of Pireaus and NCSR "Demokritos", Georgios PaliourasInstitute of Informatics & Telecommunications, NCSR "Demokritos"
10:55 - 11:20
Talk
Automatic Learning of Predictive CEP Rules: Bridging the Gap between Data Mining and Complex Event Processing. (Research Paper)
DEBS Research Papers
Raef MousheimishDAVID lab, University of Versailles, Yehia TaherDAVID - UVSQ, Karine ZeitouniUniversity of Versailles-Saint-Quentin
11:20 - 11:40
Talk
An Event-based Capture-and-Compare Approach to Support the Evolution of Systems of Systems. (Experience Paper)
DEBS Research Papers
Jürgen Thanhofer-PilischChristian Doppler Lab. MEVSS, Johannes Kepler University Linz, Rick RabiserChristian Doppler Lab. MEVSS, Johannes Kepler University Linz, Thomas KrismayerChristian Doppler Lab. MEVSS, Johannes Kepler University Linz, Michael VierhauserUniversity of Notre Dame, Paul Grünbacher, Stefan WallnerPrimetals Technologies Austria GmbH, Klaus SeyerlehnerPrimetals Technologies Austria GmbH, Helmut ZeiselPrimetals Technologies Austria GmbH
11:40 - 12:00
Talk
Using Rank Aggregation in Continuously Answering SPARQL Queries on Streaming and Quasi-static Linked Data. (Experience Paper)
DEBS Research Papers
Shima ZahmatkeshPolitecnico di Milano, Emanuele Della ValleDEIB, Politecnico di Milano, Daniele Dell'AglioIFI, University of Zurich