Encyclopedia of Database Systems

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

Web Views

  • Alexandros LabrinidisEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_853


HTML fragment; Web views


Web Views are web pages or web page fragments that are automatically created from base data, which are typically stored in a database management system (DBMS).

Key Points

Although caching of HTML pages (and fragments) has been proposed in the literature as early as the mid-1990s, the term Web View was introduced in 1999 [2] to denote that these fragments are generated through queries made to a back-end DBMS.

The concept of a Web View facilitates the materialization of dynamically generated HTML fragments outside the DBMS. The main advantage of materializing Web Views (outside the DBMS, e.g., at the web server) is that the web server need not query the DBMS for every user request, thus greatly improving query response time for the user [3]. On the other hand, for the quality of the data returned to the user to be high, the system must keep materialized Web Views fresh (in the background). This essentially decouples the processing of queries...

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Recommended Reading

  1. 1.
    Gupta H, Mumick IS. Selection of views to materialize under a maintenance cost constraint. In: Proceedings of the 7th International Conference on Database Theory; 1999. p. 453–70.Google Scholar
  2. 2.
    Labrinidis A, Roussopoulos N. Alexandros On the materialization of Web views. In: Proceedings of the ACM SIGMOD Workshop on the Web and Databases; 1999. p. 79–84.Google Scholar
  3. 3.
    Labrinidis A, Roussopoulo N Web View materialization. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2000. p. 367–78.Google Scholar
  4. 4.
    Labrinidis A, Roussopoulos N. Update propagation strategies for improving the quality of data on the Web. In: Proceedings of the 27th International Conference on Very Large Data Bases; 2001. p. 391–400.Google Scholar
  5. 5.
    Labrinidis A, Roussopoulos N. Balancing performance and data freshness in Web database servers. In: Proceedings of the 29th International Conference on Very Large Data Bases; 2003. p. 393–404.CrossRefGoogle Scholar
  6. 6.
    Labrinidis A, Roussopoulos N. Exploring the tradeoff between performance and data freshness in database-driven Web servers. VLDB J. 2004;13(3):240–55.CrossRefGoogle Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of PittsburghPittsburghUSA

Section editors and affiliations

  • Yannis Kotidis
    • 1
  1. 1.Computer Science Dept.Athens Univ. of Economics and BusinessAthensGreece