The Adaptation of a Web Information System: A Perspective of Organizations

  • Aivars NiedritisEmail author
  • Laila Niedrite
Conference paper


We provide a different view on the problem of Web Information System (WIS) adaptation, looking from perspective of organizations that are interested in an adapted Web Information System for their needs if a unified system to support similar business processes is used. We propose an adaptation architecture for WIS. Two levels of adaptation are introduced—coarse grained adaptation for the organization level and fine grained adaptation for the user level. The architecture supports also the situation, when users can work with many instances of the system adapted for different organizations, which are integrated into one instance for a particular user.


Entry Point User Profile Function Group Adaptation Component Software Product Line 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work has been supported by ESF project No. 2009/0216/1DP/


  1. 1.
    Fraternali P (1999) Tools and approaches for developing data intensive web applications: a survey. J ACM Comput Surv 31(3):227–263CrossRefGoogle Scholar
  2. 2.
    De Virgilio R, Torlone R (2005) A general methodology for context-aware data access. In: Proceedings of the 4th ACM international workshop on data engineering for wireless and mobile access, MobiDE’05, ACM, New York, pp 9–15Google Scholar
  3. 3.
    Abbar S, Bouzeghoub M, Kostadinov D, Lopes S, Aghasaryan A, Betge-Brezetz S (2008) A personalized access model: concepts and services for content delivery platforms. In: Kotsis G, Taniar D, Pardede E, Khalil I (eds) Proceedings of the 10th international conference on information integration and web-based applications and services, iiWAS’08, ACM, New York, pp 41–47Google Scholar
  4. 4.
    Valeriano D, De Virgilio R, Torlone R, Di Federico D (2006) An efficient implementation of a rule-based adaptive web information system. In: Frasincar F, Houben G-J, Thiran P (eds) Proceedings of international CAISE workshop on web information systems modeling (WISM’06), CEUR Workshop Proceedings, vol 239Google Scholar
  5. 5.
    De Bra P, Houben GJ, Wu H (1999) AHAM: a dexter-based reference model for adaptive hypermedia. In: Proceedings of the 10th ACM conference on hypertext and hypermedia hypertext’99, ACM Press, New York, pp 147–156Google Scholar
  6. 6.
    Tvarožek M, Barla M, Bieliková M (2007) Personalized presentation in web-based information systems. In: Leeuwen J, Italiano GF, Hoek W, Meinel C, Sack H, Plášil F (eds) Proceedings of the 33rd conference on current trends in theory and practice of computer science. LNCS, vol 4362, Springer, New York, pp 796–807Google Scholar
  7. 7.
    Jablonski S, Petrov I, Meiler C, Mayer U (2004) Guide to web application and platform architectures (Springer Professional Computing). Springer, New YorkGoogle Scholar
  8. 8.
    Clements P, Northrop L (2002) Software product lines: practices and patterns. Addison-Wesley, New YorkGoogle Scholar
  9. 9.
    Bass L, Clements P, Kazman R (2003) Software architecture in practice, 2nd edn. Addison-Wesley, New York, p 560Google Scholar
  10. 10.
    Microsoft (2006) Architecture strategies for catching the long tail, April 2006Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.University of LatviaRigaLatvia

Personalised recommendations