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C-SPARQL: SPARQL for continuous querying
Full text PdfPdf (556 KB)
Source
International World Wide Web Conference archive
Proceedings of the 18th international conference on World wide web table of contents
Madrid, Spain
POSTER SESSION: Wednesday, April 22, 2009 table of contents
Pages 1061-1062  
Year of Publication: 2009
ISBN:978-1-60558-487-4
Authors
Davide Francesco Barbieri  Politecnico di Milano, Milan, Italy
Daniele Braga  Politecnico di Milano, Milan, Italy
Stefano Ceri  Politecnico di Milano, Milan, Italy
Emanuele Della Valle  Politecnico di Milano, Milan, Italy
Michael Grossniklaus  Politecnico di Milano, Milan, Italy
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 17,   Downloads (12 Months): 90,   Citation Count: 0
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abstract   references   index terms   collaborative colleagues  

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ABSTRACT

C-SPARQL is an extension of SPARQL to support continuous queries, registered and continuously executed over RDF data streams, considering windows of such streams. Supporting streams in RDF format guarantees interoperability and opens up important applications, in which reasoners can deal with knowledge that evolves over time. We present C-SPARQL by means of examples in Urban Computing.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Arvind Arasu , Shivnath Babu , Jennifer Widom, The CQL continuous query language: semantic foundations and query execution, The VLDB Journal — The International Journal on Very Large Data Bases, v.15 n.2, p.121-142, June 2006  [doi>10.1007/s00778-004-0147-z]
 
2
E. Prud'hommeaux and A. Seaborne. SPARQL Query Language for RDF Grammar. http://www.w3.org/TR/rdf-sparql-query/#sparqlGrammar.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.3 Languages
          Subjects: Query languages


General Terms:
Languages


Keywords:
RDF, SPARQL, data streams

Collaborative Colleagues:
Davide Francesco Barbieri: colleagues
Daniele Braga: colleagues
Stefano Ceri: colleagues
Emanuele Della Valle: colleagues
Michael Grossniklaus: colleagues

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