Continuous Queries and Real-time Analysis of Social Semantic Data with C-SPARQL
Davide Francesco Barbieri, Daniele Braga, Stefano Ceri, Emanuele Della Valle, Michael Grossniklaus · KOPS (University of Konstanz) · 2009
Abstract. Social semantic data are becoming a reality, but apparently their streaming nature has been ignored so far. Streams, being unbounded sequences of time-varying data elements, should not be treated as persistent data to be stored “forever ” and queried on demand, but rather as transient data to be consumed on the fly by queries which are registered once and for all and keep analyzing such streams, producing answers triggered by the streaming data and not by explicit invocation. In this paper, we propose an approach to continuous queries and realtime analysis of social semantic data with C-SPARQL, an extension of SPARQL for querying RDF streams.