Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Temporal Visual Languages

  • Ulrich SchielEmail author
  • Sonia Leila Da Silva
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_410


Temporal visual interfaces; Temporal visual queries


Database technology has evolved in order to be typically oriented toward a large set of nonexpert users. While attempting to meet this need, textual query languages, such as SQL, have been replaced by visual query languages, which are based on visual representations of the database and direct manipulation mechanisms. Moreover, data characterized by the temporal dimension play an important role in modern database applications. Temporal visual languages are user-oriented languages that meet the specific requirements of querying and visualizing temporal data in an interactive and easy-to-use visual form.

Historical Background

The availability of graphical devices at low cost and the advent of the direct manipulation paradigm [1] have given rise in the last years to a large diffusion of visual user interfaces. Regarding the database area, databases are designed, created, and possibly modified by experts, but there are...

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

Recommended Reading

  1. 1.
    Shneiderman B. Direct manipulation, a step beyond programming languages. IEEE Comput. 1983;16(8):57–69.CrossRefGoogle Scholar
  2. 2.
    Catarci T, et al. Visual query systems: analysis and comparison. J Vis Lang Comput. 1997;8(2):215–60.CrossRefGoogle Scholar
  3. 3.
    Silva SF, Catarci T, Schiel U. Formalizing visual interaction with historical databases. Inf Syst. 2002;27(7):487–521.zbMATHCrossRefGoogle Scholar
  4. 4.
    Silva SF, Catarci T. Visualization of linear time-oriented data: a survey. In: Proceedings of the 1st International Conference on Web Information Systems Engineering; 2000. p. 310–19.Google Scholar
  5. 5.
    Silva SF, Schiel U, Catarci T. Visual query operators for temporal databases. In: Proceedings of the 4th International Workshop Temporal Representation and Reasoning; 1997. p. 46–53.Google Scholar
  6. 6.
    Cavalcanti VMB, Schiel U, Baptista CS. Querying spatio-temporal databases using a visual environment. In: Proceedings of the Working Conference on Advanced Visual Interfaces; 2006. p. 412–19.Google Scholar
  7. 7.
    Allen JF. Maintaining knowledge about temporal interval. Commun ACM. 1983;26(1):832–43.zbMATHCrossRefGoogle Scholar
  8. 8.
    Chittaro L, Combi C. Representation of temporal intervals and relations: information visualization aspects and their evaluation. In: Proceedings of the 8th International Symposium on Temporal Representation and Reasoning; 2001. p. 13–20.Google Scholar
  9. 9.
    Hibino S, Rundensteiner EA. User interface evaluation of a direct manipulation temporal query language. In: Proceedings of the 5th ACM International Conference on Multimedia; 1997. p. 99–107.Google Scholar
  10. 10.
    Fails JA, Karlson A, Shahamat L. Visual query of multi-dimensional temporal data. http://www.cs.umd.edu/class/spring2005/cmsc838s/assignment-projects/visual-query-of-temporal-data/Final-Paper-06.pdf
  11. 11.
    Aigner W, et al. Visualizing time-oriented data – a systematic view. Comput Graph. 2007;31(3):401–9.CrossRefGoogle Scholar
  12. 12.
    Shneiderman B. The eyes have it: a task by data type taxonomy for information visualizations. In: Proceedings of the IEEE Symposium on Visual Languages; 1996. p. 336–43.Google Scholar
  13. 13.
    Ahlberg C, Shneiderman B. Visual information seeking: tight coupling of dynamic query filters with starfield displays. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; 1994. p. 313–17.Google Scholar
  14. 14.
    Hochheiser H, Shneiderman B. Dynamic query tools for time series data sets, timebox widgets for interactive exploration. Inf Vis. 2004;3(1):1–18.CrossRefGoogle Scholar
  15. 15.
    Silva SF. Towards a highly interactive web exploration of spatial and historical aggregations from data marts. In: Proceedings of the International Conference on advanced Geographic Information Systems & Web Services; 2009. p. 183–188.Google Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Federal University of Campina GrandeCampina GrandeBrazil
  2. 2.CerveteriItaly

Section editors and affiliations

  • Tiziana Catarci
    • 1
  1. 1.Dept. di Ingegneria Informatica, Automatica e GestionaleUniversita di RomaRomaItaly