Goal

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 page, we propose an approach to continuous queries and real-time analysis of social semantic data, obtained from the Glue social network, with C-SPARQL, an extension of SPARQL for querying RDF streams.

Demonstrators

• RDF Stream generated on the fly from Glue interactions REST API
• Realtime analysis of Glue interactions with C-SPARQL

Related Publications

• D. F. Barbieri, D. Braga, S. Ceri and E. Della Valle and M. Grossniklaus, "Continuous Queries and Real-time Analysis of Social Semantic Data with C-SPARQL", in SDoW 2009 Colocated with ISWC 2009. [bibtex]
• D. F. Barbieri, D. Braga, S. Ceri, E. Della Valle, and M. Grossniklaus, "C-SPARQL: SPARQL for continuous querying", in WWW, 2009, pp. 1061-1062. [bibtex]