Querying RDF streams with C-SPARQL | Zendy

Davide Barbieri | Zendy; Daniele Braga | Zendy; Stefano Ceri | Zendy; Emanuele Della Valle | Zendy; Michael Grossniklaus | Zendy

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Querying RDF streams with C-SPARQL

Author(s) -

Davide Barbieri,

Daniele Braga,

Stefano Ceri,

Emanuele Della Valle,

Michael Grossniklaus

Publication year - 2010

Publication title -

acm sigmod record

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.372

H-Index - 142

eISSN - 1943-5835

pISSN - 0163-5808

DOI - 10.1145/1860702.1860705

Subject(s) - sparql , computer science , named graph , rdf , rdf schema , interoperability , syntax , linked data , rdf query language , information retrieval , database , semantic web , world wide web , search engine , artificial intelligence , web query classification , web search query

Continuous SPARQL (C-SPARQL) is a new language for continuous queries over streams of RDF data. CSPARQL queries consider windows, i.e., the most recent triples of such streams, observed while data is continuously flowing. Supporting streams in RDF format guarantees interoperability and opens up important applications, in which reasoners can deal with knowledge evolving over time. Examples of such application domains include real-time reasoning over sensors, urban computing, and social semantic data. In this paper, we present the C-SPARQL language extensions in terms of both syntax and examples. Finally, we discuss existing applications that already use C-SPARQL and give an outlook on future research opportunities.

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