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                              DATABASE SEMINAR
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           Michael Grossniklaus (Vienna University of Technology)
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               Teach Your Data Streams to Do More [+Bonus Track]
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                  Friday, January 25, 2013 -- h 11:30
                      **** Sala riunioni ****
                    Dipartimento di Ingegneria
              Sezione Informatica e Automazione
                       Universita' Roma Tre
                       Via Vasca Navale, 79
                           primo piano

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Abstract: The family of applications that process data streams is growing
and evolving. The data managed by these applications and the operations
applied to these data are often very complex. In this talk, we present
our approach to supporting these types of applications by designing and
developing general data management technologies. We illustrate this
approach based on previous and ongoing projects in the area of stream
reasoning and scientific data streams. First, we discuss the design and
implementation of Continuous SPARQL (C-SPARQL) query language for
reasoning over streams of RDF data. Second, we describe data-driven
windows, so-called frames. Unlike tuple or time-based windows, frames
adapt to the data in the stream and therefore support the computation of
a variety of data products. In particular, we focus on how to evaluate
the quality of frame-based data products with data products computed
using existing techniques.

Bonus Track: A brief overview of the ARTIST EU project, which
investigates advanced software-based service provisioning and migration
of legacy software to cloud computing infrastructures.

Biography: Michael Grossniklaus obtained his PhD in Computer Science from
ETH Zurich, Switzerland in the research group of Prof. Moira C. Norrie in
2007. He currently works as a post-doc in Prof. Gerti Kappel's group at
the Vienna University of Technology. Michael's work is situated in the
area of information systems and databases with a focus on designing and
developing technologies to support the requirements of emerging and novel
application domains. In the past, he has defined an object-oriented
version model that supports context-aware data management and query
processing, which has been successfully applied in a web content
management system and a mobile tourist information system. In 2008,
Michael joined Prof. Stefano Ceri's group at the Politecnico di Milano,
Italy as a post-doc, where he worked on stream reasoning within the
"LarKC" European FP7 project and on the Panta Rhei data flow language for
the Search Computing (SeCo) project. More recently, Michael was an SNSF-
funded post-doc in Prof. David Maier's group at Portland State
University, where did research on data stream processing and graph data
management.