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The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

C-SPARQL: A CONTINUOUS QUERY LANGUAGE FOR RDF DATA STREAMS

BARBIERI, DAVIDE FRANCESCO, BRAGA, DANIELE, CERI, STEFANO, VALLE, EMANUELE DELLA, GROSSNIKLAUS, MICHAEL·2010·International Journal of Semantic Computing

Abstract

This article defines C-SPARQL, 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. 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 evolving knowledge over time. C-SPARQL is presented by means of a full specification of the syntax, a formal semantics, and a comprehensive set of examples, relative to urban computing applications, that systematically cover the SPARQL extensions. The expression of meaningful queries over streaming data is strictly connected to the availability of aggregation primitives, thus C-SPARQL also includes extensions in this respect.

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Metadata

Authors
BARBIERI, D. F., BRAGA, D., CERI, S., VALLE, E. D., & GROSSNIKLAUS, M.
Venue
International Journal of Semantic Computing
Published
2010-03
Volume
04
Issue
01
Pages
3-25
ISSN
  • 1793-7108 (ISSN-L)
  • 1793-351X
OpenAlex
W2032378436
Cited by
273
References
21
FWCI
10.88
Type
journal article
Language
en
Open access
closed

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BARBIERI, D. F., BRAGA, D., CERI, S., VALLE, E. D., & GROSSNIKLAUS, M. (2010). C-SPARQL: A CONTINUOUS QUERY LANGUAGE FOR RDF DATA STREAMS. International Journal of Semantic Computing. https://doi.org/10.1142/s1793351x10000936

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.