Personne
Jean Paul Calbimonte Perez
Cette personne n’est plus à l’EPFL
Publications associées (26)
Semantic representation and processing of hypoglycemic events derived from wearable sensor data
Karl Aberer, Jean Paul Calbimonte Perez, Jean-Eudes Marie Ranvier
Diabetes Type 1 is a metabolic disease which results in a lack of insulin production, causing high glucose levels in the blood. It is crucial for diabetic patients to balance this glucose level, and they depend on external substances to do so. In order to ...
Ios Press2017Toward Semantic Sensor Data Archives on the Web
Karl Aberer, Jean Paul Calbimonte Perez
Sensor datasets on the Web are becoming increasingly available, and there is a need for making them discoverable and accessible, so that they can be reused despite their heterogeneity. While RDF and Linked Data provide fundamental principles for sharing da ...
2016Efficient Distributed Decision Trees for Robust Regression
Karl Aberer, Jean Paul Calbimonte Perez, Tian Guo
The availability of massive volumes of data and recent advances in data collection and processing platforms have motivated the development of distributed machine learning algorithms. In numerous real-world applications large datasets are inevitably noisy a ...
2016A Query Model to Capture Event Pattern Matching in RDF Stream Processing Query Languages
The current state of the art in RDF Stream Processing (RSP) proposes several models and implementations to combine Semantic Web technologies with Data Stream Management System (DSMS) operators like windows. Meanwhile, only a few solutions combine Semantic ...
Springer Int Publishing Ag2016Detection of hypoglycemic events through wearable sensors
Karl Aberer, Jean Paul Calbimonte Perez, Jean-Eudes Marie Ranvier
Diabetic patients are dependent on external substances to balance their blood glucose level. In order to control this level, they historically needed to sample a drop a blood from their hand and have it analyzed. Recently, other directions emerged to offer ...
CEUR-WS2016Query Rewriting in RDF Stream Processing
Querying and reasoning over RDF streams are two increasingly relevant areas in the broader scope of processing structured data on the Web. While RDF Stream Processing (RSP) has focused so far on extending SPARQL for continuous query and event processing, s ...
Springer2016TripleWave: Spreading RDF Streams on the Web
Karl Aberer, Jean Paul Calbimonte Perez
Processing data streams is increasingly gaining momentum, given the need to process these flows of information in real-time and at Web scale. In this context, RDF Stream Processing (RSP) and Stream Reasoning (SR) have emerged as solutions to combine semant ...
Springer Int Publishing Ag2016SigCO: Mining Significant Correlations via a Distributed Real-time Computation Engine
Karl Aberer, Jean Paul Calbimonte Perez, Tian Guo, Hao Zhuang
The dramatic rise of time-series data produced in a variety of contexts, such as stock markets, mobile sensing, sensor networks, data centre monitoring, etc., has fuelled the development of large-scale distributed real-time computation systems (e.g., Apach ...
2015Where are the RDF Streams?: Deploying RDF Streams on the Web of Data with TripleWave
Karl Aberer, Jean Paul Calbimonte Perez
RDF Stream Processing (RSP) bridges the gap between semantic technologies and data stream systems. Although a number of RSP systems have been recently proposed, no RDF streams are actually made publicly available on the Web. To cope with this, RSP engines ...
2015Reactive Processing of RDF Streams of Events
Karl Aberer, Jean Paul Calbimonte Perez
Events on the Web are increasingly being produced in the form of data streams, and are present in many different scenarios and applications such as health monitoring, environmental sensing or social networks. The heterogeneity of event streams has raised t ...
2015