Filters








8 Hits in 2.8 sec

Where Are the RDF Streams?: On Deploying RDF Streams on the Web of Data with TripleWave

Andrea Mauri, Jean-Paul Calbimonte, Daniele Dell'Aglio, Marco Balduini, Emanuele Della Valle, Karl Aberer
2015 International Semantic Web Conference  
Although a number of RSP systems have been recently proposed, no RDF streams are actually made publicly available on the Web.  ...  In this paper we present TripleWave: an approach for publishing existing streams on the Web as RDF streams, using mappings to perform live transformation of data, and following the Linked Data principles  ...  Introduction Data streams are one of the main sources of data on the Web, and are actively being produced in several domains, ranging from social networks to IoT.  ... 
dblp:conf/semweb/0001CDBVA15 fatcat:vbcws64y4jcrbgndurgzh4d6iq

MobileWave: Publishing RDF Streams From SmartPhones

Yehia Abo Sedira, Riccardo Tommasini, Emanuele Della Valle
2017 International Semantic Web Conference  
MobileWave extends TripleWave with a publish/subscribe middleware that collects affluent RDF Streams, composes them into a swollen RDF stream and publishes it on the Web.  ...  The number of applications leveraging data from sensors on smart-phones is growing.  ...  MobileWave uses OBDA technologies to access smart-phones sensors data and a publish/subscribe version of TripleWave that gathers data from several devices and publishes Swollen RDF stream on the Web.  ... 
dblp:conf/semweb/Sedira0V17a fatcat:5bbi3ith6fc6xlhz44wupgu6ta

Real-Time Compliant Stream Processing Agents for Physical Rehabilitation

Davide Calvaresi, Jean-Paul Calbimonte
2020 Sensors  
Finally, we conduct an extensive evaluation of the implementation of the stream processing multi-agent architecture, which relies on existing RDF stream processing engines.  ...  cope with data heterogeneity.  ...  Acknowledgments: Thanks to Giuseppe Albanese for the support with the simulation environment. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20030746 pmid:32013222 pmcid:PMC7038372 fatcat:rfdgfg4v3rfgbdmhoubsbleamm

Stressless RSP Benchmarking With RSPLab

Andrea Mauri, Riccardo Tommasini, Emanuele Della Valle, Marco Brambilla
2017 International Semantic Web Conference  
It provides a programmatic environment to deploy RDF Streams and RSP engines, interact with them and continuously monitor their performances and collect statistics.  ...  We will show how these action impact the performances and we transform the results in visual plot on a chart.  ...  Moreover we will show how with RSPLab is possible to observe the different phases of an experiment: the warm-up phase, where the engines are deployed and the streams and the queries are registered, and  ... 
dblp:conf/semweb/00010V017 fatcat:cvlflpxhu5h3znsllvesyocxju

Regular Path Query Evaluation on Streaming Graphs [article]

Anil Pacaci, Angela Bonifati, M. Tamer Özsu
2020 arXiv   pre-print
Experimental analysis on real and synthetic streaming graphs shows that the proposed algorithms can process up to tens of thousands of edges per second and efficiently answer RPQs that are commonly used  ...  We adopt the Regular Path Query (RPQ) model that specifies navigational patterns with labeled constraints.  ...  TripleWave [52] focuses on the problem of RDF stream deployment and introduces a framework for publishing RDF streams on the web.  ... 
arXiv:2004.02012v1 fatcat:733z3i5w6bcb5dx6rbhi2nd6eu

On the Semantics of Tpf-qs towards Publishing and Querying rdf Streams at Web-scale

Ruben Taelman, Riccardo Tommasini, Joachim Van Herwegena, Miel Vander Sandea, Emanuele Della Valle, Ruben Verborgh
2018 Procedia Computer Science  
Stream Processing ( ) is a rapidly evolving area of research that focuses on extensions of the Semantic Web in order to model and process Web data streams.  ...  Abstract Stream Processing ( ) is a rapidly evolving area of research that focuses on extensions of the Semantic Web in order to model and process Web data streams.  ...  Data are produced by a sensor network deployed over the parking area where new observations are streamed out every 5 minutes.  ... 
doi:10.1016/j.procs.2018.09.005 fatcat:jacci2mb6vdijmtuixnua2tzt4

Semantic analysis of file system log data to detect data exfiltration

Agnes Fröschl, Edgar Weippl
2020
Constraints on the event detection depend on the type of file activity performed and on the rate of incoming log entries.  ...  During the evaluation, we encountered restrictions on a near real-time analysis of file system log data, due to performance limitations of C-SPARQL.  ...  The approved original version of this thesis is available in print at TU Wien Bibliothek. The approved original version of this thesis is available in print at TU Wien Bibliothek.  ... 
doi:10.34726/hss.2020.59160 fatcat:ehwhxazi2nekxobj4b4l3a57l4

Enhancement of a Short-Term Forecasting Method Based on Clustering and kNN: Application to an Industrial Facility Powered by a Cogenerator

Giulio Vialetto, Marco Noro
2019 Energies  
A model based on clustering and k-nearest neighbors (kNN) is proposed to analyze and forecast data, and the novelties on model parameters definition to improve its accuracy are presented.  ...  An analysis of the parameters and the results of the model is performed, showing a forecast of electricity demand with an error of 3%.  ...  Acknowledgments: We are thankful to Amy Segata (Eurac Research) for designing the figures of the study.  ... 
doi:10.3390/en12234407 fatcat:qcygfp5lzjef3ldv3xxzunzwni