Skip to main content
SpringerLink
Log in

Semantic Streams

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 33 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Bouillet E, Feblowitz M, Liu Z, Ranganathan A, Riabov A, Ye F. A semantics-based middleware for utilizing heterogeneous sensor networks. In: Aspnes J, Scheideler C, Arora A, Madden S, editors. Proceedings of the 3rd IEEE International Conference on Distributed Computing in Sensor Systems; 2007. p. 174–188.

    Google Scholar 

  2. Sheth A, Henson C, Sahoo SS. Semantic sensor web. IEEE Internet Comput. 2008;12(4):78–83.

    Article  Google Scholar 

  3. Whitehouse K, Zhao F, Liu J. Semantic streams: a framework for composable semantic interpretation of sensor data. In: Römer K, Karl H, Mattern F, editors. Proceedings of the 3rd European Workshop on Wireless Sensor Networks; 2006. p. 5–20.

    Google Scholar 

  4. Compton M, Barnaghi PM, Bermudez L, Garcia-Castro R, Corcho Ó, Cox S, et al. The SSN ontology of the W3C semantic sensor network incubator group. J Web Sem. 2012;17(Dec):25–32.

    Article  Google Scholar 

  5. The W3C RDF Stream Processing Community Group; [cited May 2014]. Available from: http://www.w3.org/community/rsp/.

  6. Bolles A, Grawunder M, Jacobi J. Streaming SPARQL – extending SPARQL to process data streams. In: Bechhofer S, Hauswirth M, Hoffmann J, Koubarakis M, editors. Proceedings of the 5th European Semantic Web Conference on The Semantic Web: Research and Applications; 2008. p. 448–462.

    Google Scholar 

  7. Anicic D, Fodor P, Rudolph S, Stojanovic N. EP-SPARQL: a unified language for event processing and stream reasoning. In: Srinivasan S, Ramamritham K, Kumar A, Ravindra MP, Bertino E, Kumar R, editors. Proceedings of the 20th International Conference on World Wide Web; 2011. p. 635–44.

    Google Scholar 

  8. Barbieri DF, Braga D, Ceri S, Grossniklaus M. An execution environment for C-SPARQL queries. In: Manolescu I, Spaccapietra S, Teubner J, Kitsuregawa M, Léger A, Naumann F, et al., editors. Proceedings of the 13th International Conference on Extending Database Technology; 2010. p. 441–52.

    Google Scholar 

  9. Calbimonte JP, Corcho Ó, Gray AJG. Enabling ontology-based access to streaming data sources. In: Patel-Schneider PF, Pan Y, Hitzler P, Mika P, Zhang L, Pan JZ, et al., editors. Proceedings of the 9th International Semantic Web Conference on the Semantic Web; 2010. p. 96–111.

    Google Scholar 

  10. Phuoc DL, Dao-Tran M, Parreira JX, Hauswirth M. A native and adaptive approach for unified processing of linked streams and linked data. In: Aroyo L, Welty C, Alani H, Taylor J, Bernstein A, Kagal L, et al., editors. Proceedings of the 10th International Semantic Web Conference; 2011. p. 370–88.

    Google Scholar 

  11. Arasu A, Babu S, Widom J. The CQL continuous query language: semantic foundations and query execution. The VLDB J. 2006;15(2):121–42.

    Article  Google Scholar 

  12. Zhang Y, Duc PM, Corcho O, Calbimonte JP. SRBench: a streaming RDF/SPARQL benchmark. In: Cudré-Mauroux P, Heflin J, Sirin E, Tudorache T, Euzenat J, Hauswirth M, et al., editors. Proceedings of the 11th International Conference on The Semantic Web; 2012. p. 641–57. Available from: https://doi.org/10.1007/978-3-642-35176-1_40.

    Chapter  Google Scholar 

  13. Phuoc DL, Dao-Tran M, Pham MD, Boncz PA, Eiter T, Fink M. Linked stream data processing engines: facts and figures. In: Cudré-Mauroux P, Heflin J, Sirin E, Tudorache T, Euzenat J, Hauswirth M, et al., editors. Proceedings of the 11th International Semantic Web Conference; 2012. p. 300–12.

    Google Scholar 

  14. Dell’Aglio D, Calbimonte JP, Balduini M, Corcho Ó, Valle ED. On correctness in RDF stream processor benchmarking. In: Alani H, Kagal L, Fokoue A, Groth PT, Biemann C, Parreira JX, et al., editors. Proceedings of the 12th International Semantic Web Conference; 2013. p. 326–42.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Open Distributed Systems, Technical University of Berlin, Berlin, Germany

    Manfred Hauswirth & Danh Le Phuoc

  2. Fraunhofer FOKUS, Galway, Germany

    Manfred Hauswirth

  3. Siemens AG, Galway, Austria

    Josiane Xavier Parreira

Authors
  1. Manfred Hauswirth
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Danh Le Phuoc
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Josiane Xavier Parreira
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Manfred Hauswirth .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Hauswirth, M., Le Phuoc, D., Parreira, J.X. (2018). Semantic Streams. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_80605

Download citation

Publish with us

Policies and ethics

Search

Navigation