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Dive into the research topics where Jonas Jacobi is active.

Publication


Featured researches published by Jonas Jacobi.


european semantic web conference | 2008

Streaming SPARQL extending SPARQL to process data streams

Andre Bolles; Marco Grawunder; Jonas Jacobi

A lot of work has been done in the area of data stream processing. Most of the previous approaches regard only relational or XML based streams but do not cover semantically richer RDF based stream elements. In our work, we extend SPARQL, the W3C recommendation for an RDF query language, to process RDF data streams. To describe the semantics of our enhancement, we extended the logical SPARQL algebra for stream processing on the foundation of a temporal relational algebra based on multi-sets and provide an algorithm to transform SPARQL queries to the new extended algebra. For each logical algebra operator, we define executable physical counterparts. To show the feasibility of our approach, we implemented it within our ODYSSEUS framework in the context of wind power plant monitoring.


database and expert systems applications | 2010

Prediction functions in bi-temporal datastreams

Andre Bolles; Marco Grawunder; Jonas Jacobi; Daniela Nicklas; H.-Jürgen Appelrath

Modern datastream management system (DSMS) assume sensor measurements to be constant valued until an update is measured. They do not consider continuously changing measurement values, although a lot of real world scenarios exist that need this essential property. For instance, modern cars use sensors, like radar, to periodically detect dynamic objects like other vehicles. The state of these objects (position and bearing) changes continuously, so that it must be predicted between two measurements. Therefore, in our work we develop a new bitemporal stream algebra for processing continuously changing stream data. One temporal dimension covers correct order of stream elements and the other covers continuously changing measurements. Our approach guarantees deterministic query results and correct optimizability. Our implementation shows that prediction functions can be processed very efficiently.


Computer Science - Research and Development | 2010

A physical operator algebra for prioritized elements in data streams

Jonas Jacobi; Andre Bolles; Marco Grawunder; Daniela Nicklas; H.-Jürgen Appelrath


GI Jahrestagung (2) | 2010

Sensordatenverarbeitung mit dem Open Source Datenstrommanagementframework Odysseus

Andre Bolles; Dennis Geesen; Marco Grawunder; Jonas Jacobi; Daniela Nicklas; Hans-Jürgen Appelrath


BTW | 2011

StreamCars - Datenstrommanagementbasierte Verarbeitung von Sensordaten im Fahrzeug.

Andre Bolles; Dennis Geesen; Marco Grawunder; Jonas Jacobi; Daniela Nicklas; Hans-Jürgen Appelrath; Marco Hannibal; Frank Köster


Grundlagen von Datenbanken | 2008

ODYSSEUS: Ein flexibles Framework zum Erstellen anwendungsspezifischer Datenstrommanagementsysteme.

Jonas Jacobi; Marco Grawunder


GI Jahrestagung | 2009

Odysseus: Ein Framework für maßgeschneiderte Datenstrommanagementsysteme.

Andre Bolles; Marco Grawunder; Jonas Jacobi; Daniela Nicklas; Hans-Jürgen Appelrath


BTW | 2009

Priorisierte Verarbeitung von Datenstromelementen.

Jonas Jacobi; Andre Bolles; Marco Grawunder; Daniela Nicklas; Hans-Jürgen Appelrath


BTW | 2011

Koordinierte zyklische Kontext-Aktualisierungen in Datenströmen.

Dennis Geesen; Andre Bolles; Marco Grawunder; Jonas Jacobi; Daniela Nicklas; Hans-Jürgen Appelrath


Grundlagen von Datenbanken | 2007

Vorhersage des Antwortverhaltens von Quellen auf Grundlage gelernter Muster im DynaQuest Anfrageprozess.

Jonas Jacobi; Marco Grawunder

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