Visual Query Languages for Data Stream | SpringerLink
Skip to main content

Visual Query Languages for Data Stream

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

Synonyms

Visual query language (VQL); Visual query system (VQS)

Definition

A particular type of visual query language specifically targeted for data stream processing. As the classical visual query languages, it provides a language, consisting of a set of visual constructs, to express, in a visual format, queries on data transmitted in a continuous and unbounded fashion (i.e., data streams). It is important to note that this class of languages can be seen as an extension of the generic visual query languages (for further details, consult the entry on the encyclopedia), due to the fact that they can query, in a visual manner and using the same criteria of classical VQLs, both data streams and classical relational databases. They are oriented to a wide spectrum of users, even those ones who have some knowledge about concepts related to data streaming but with no skills in developing code.

Historical Background

The importance of data streams in the information technology field is...

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 571999
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Zloof MM. Query-by-example: a database language. IBM Syst J. 1997;16(4):324–43.

    Article  Google Scholar 

  2. Catarci T, Costabile MF, Levialdi S, Batini C. Visual query systems for databases: a survey. J Vis Lang Comput. 1997;8(2):215–60.

    Article  Google Scholar 

  3. Dionisio JD, Crdenas AF. Mquery: a visual query language for multimedia, timeline and simulation data. J Vis Lang Comput. 1996;7(4):377–401.

    Article  Google Scholar 

  4. Rozsnyai S, Schiefer J, Roth H. SARI-SQL: event query language for event analysis. In: Proceedings of the IEEE Conference on Commerce and Enterprise Computing; 2009. p. 24–32.

    Google Scholar 

  5. Anicic D, Fodor P, Rudolph S, Stojanovic N. EP-SPARQL: a unified language for event processing and stream reasoning. In: Proceedings of the 20th International Conference on World Wide Web; 2011. p. 635–44.

    Google Scholar 

  6. Arasu A, Babu S, Widom J. The CQL continuous query language: semantic foundations and query execution. Technical report 67–2003, Stanford InfoLab; 2003. http://ilpubs.stanford.edu:8090/758

  7. http://esper.codehaus.org/

  8. http://docs.wso2.org/display/CEP300/Siddhi+Language+Specification

  9. Leva M, Mecella M, Russo A, Catarci T, Bergamaschi S, Malagoli A, Melander L, Risch T, Xu C. Visually querying and accessing data streams in industrial engineering applications. In: Proceedings of the 21st Italian Symposium on Advanced Database Systems; 2013.

    Google Scholar 

  10. Malagoli A, Leva M, Kimani S, Russo A, Mecella M, Bergamaschi S, Catarci T. Visual query specification and interaction with industrial engineering data. In: Proceedings of the 9th International Symposium on Visual Computing; 2013. p. 58–67.

    Chapter  Google Scholar 

  11. Bauleo E, Carnevale S, Catarci T, Kimani S, Leva M, Mecella M. Design, realization and user evaluation of the SmartVortex Visual Query System for accessing data stream in industrial engineering applications. J Vis Lang Comput. 2014;25(5):577–601.

    Article  Google Scholar 

  12. http://www.streambase.com

  13. Abadi DJ, Carney D, Çetintemel U, Cherniack M, Convey C, Lee S, Stonebraker M, Tatbul N, Zdonik S. Aurora: a new model and architecture for data stream management. VLDB J. 2003;12(2):120–39.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tiziana Catarci .

Editor information

Editors and Affiliations

Section Editor information

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

Catarci, T., Leva, M., Mecella, M. (2018). Visual Query Languages for Data Stream. 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_80666

Download citation

Publish with us

Policies and ethics