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Encyclopedia of Database Systems pp 4538–4542Cite as

Visual Query Languages for Data Stream

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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...

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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 

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria Informatica, Automatica e Gestionale “A.Ruberti”, Sapienza – Università di Roma, Rome, Italy

    Tiziana Catarci & Mariano Leva

  2. University of Padua, Padua, Italy

    Massimo Mecella

Authors
  1. Tiziana Catarci
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  2. Mariano Leva
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  3. Massimo Mecella
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Corresponding author

Correspondence to Tiziana Catarci .

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

Section Editor information

  1. Dept. di Ingegneria Informatica, Automatica e Gestionale, Universita di Roma, Rome, 185, Italy

    Tiziana Catarci

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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

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