M
Michael Grossniklaus
Researcher at University of Konstanz
Publications - 107
Citations - 2267
Michael Grossniklaus is an academic researcher from University of Konstanz. The author has contributed to research in topics: Information system & Event (computing). The author has an hindex of 21, co-authored 104 publications receiving 2046 citations. Previous affiliations of Michael Grossniklaus include Polytechnic University of Milan & Portland State University.
Papers
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Journal ArticleDOI
C-SPARQL : A Continuous Query Language for RDF Data Streams
Davide Francesco Barbieri,Daniele Braga,Stefano Ceri,Emanuele Della Valle,Michael Grossniklaus +4 more
TL;DR: C-SPARQL is defined, an extension of SPARQL whose distinguishing feature is the support of continuous queries, i.e. queries registered over RDF data streams and then continuously executed.
Proceedings ArticleDOI
C-SPARQL: SPARQL for continuous querying
Davide Francesco Barbieri,Daniele Braga,Stefano Ceri,Emanuele Della Valle,Michael Grossniklaus +4 more
TL;DR: C-SPARQL is an extension of SPARQL to support continuous queries, registered and continuously executed over RDF data streams, considering windows of such streams, and is presented by means of examples in Urban Computing.
Journal ArticleDOI
Querying RDF streams with C-SPARQL
Davide Francesco Barbieri,Daniele Braga,Stefano Ceri,Emanuele Della Valle,Michael Grossniklaus +4 more
TL;DR: This paper presents the C-SPARQL language extensions in terms of both syntax and examples and discusses existing applications that already use C- SPARQL and gives an outlook on future research opportunities.
Book ChapterDOI
Incremental reasoning on streams and rich background knowledge
Davide Francesco Barbieri,Daniele Braga,Stefano Ceri,Emanuele Della Valle,Michael Grossniklaus +4 more
TL;DR: This article presents a technique for Stream Reasoning, consisting in incremental maintenance of materializations of ontological entailments in the presence of streaming information that exploits the nature of streaming data in order to efficiently maintain materialized views of RDF triples, which can be used by a reasoner.
Proceedings ArticleDOI
An execution environment for C-SPARQL queries
TL;DR: The syntax and semantics of the C-SPARQL language are shown, a query graph model is introduced which is an intermediate representation of queries devoted to optimization, and optimizations in terms of rewriting rules applied to the querygraph model are introduced.