2009, Barbieri, Davide Francesco, Braga, Daniele, Ceri, Stefano, Della Valle, Emanuele, Grossniklaus, Michael

Social semantic data are becoming a reality, but apparently their streaming nature has been ignored so far. Streams, being unboun- ded 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 regis- tered once and for all and keep analyzing such streams, producing an- swers triggered by the streaming data and not by explicit invocation. In this paper, we propose an approach to continuous queries and real- time analysis of social semantic data with C-SPARQL, an extension of SPARQL for querying RDF streams.