1st Workshop on Dynamic and Adaptive Hypertext: Generic Frameworks, Approaches and Techniques | |
Non-Invasive Adaptation Service for Web-based Content Management Systems | |
Kevin Koidl ; Owen Conlan ; Vincent Wade | |
Others : http://CEUR-WS.org/Vol-473/paper4.pdf PID : 11334 |
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来源: CEUR | |
【 摘 要 】
Most Adaptive Hypermedia Systems today focus on providing an adaptive portal or presentation/application through which adaptive retrieved contentis delivered. Moreover the content used by such adaptive systems tends to be handcrafted for adaptivity, i.e. from closed corpus repositories. If adaptivehypermedia is to become more mainstream we need the ability to embed adaptiveinformation retrieval and composition techniques within existing Web-based Content Management Systems (WCMS) e.g. Wiki, Drupal. However the effort and expense in fundamentally re-engineering such WCMS or developing completely new adaptive WCMS, is very high. This research explores the architectural andtechnical issues involved in providing a third party adaptive service which is moreeasily plugged into existing WCMS. The advantage of this approach is that itdoesn't break the current browsing paradigm of freely navigating across differentindependent web sites on the web. In order to address this challenge we introduce athird party Adaptive Service that enables a unified cross-website personalizedexperience by discretely interfacing with separate independent WCMS. Thus the Adaptive Service strives to personalize the users experience when accessing eachWCMS in a non-invasive manner by not adversely interfering with the web sites overall look and feel, content and functionality without losing the web sites identityand fundamental experience. This paper describes the design and an initial use casesupported implementation example of this Adaptive Service. It also provides a survey that assesses the feasibility of the services integration with leading WCMS.
【 预 览 】
Files | Size | Format | View |
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Non-Invasive Adaptation Service for Web-based Content Management Systems | 388KB | download |