Doctoral Consortium: Adaptive Hypermedia Techniques
Thursday 31 July, 11:00 - 12:30
GAF: Generic Adaptation Framework (page 400)Evgeny Knutov
The Generic Adaptation Framework research project aims to develop a new reference model for the adaptive information systems research field. The new model will extend the well known AHAM reference model, taking into account newly developed techniques and methodologies in this area as well as attempts to capture them in architecture models such as the Munich Reference Model, LAOS/LAG and the extension from pure adaptive hypermedia to adaptive information systems, as studied in the Hera research program for instance.
Engineering Information Systems towards Facilitating Scrutable and Configurable Adaptation (page 405)Kevin Koidl and Owen Conlan
End users of Adaptive Hypermedia Systems (AHS) receive an experience that has been tailored towards their specific needs. Several AHS have produced favourable results showing benefits to the user experience . However, the nature of AHS is that they tend to operate across a focused and fixed domain with a single body of content that is known a priori. This approach limits the user's freedom to choose other information sources and restricts the potential impact an adaptive systems may have. To provide more flexibility several service orientated approaches extending traditional AHS architectures have been introduced. This Ph.D. work proposes the re-engineering of information systems in order to support the portability of adaptive services, thus enabling them to personalize any information system on behalf of the user. This approach espouses user empowerment through this mobility and through a highly scrutable and configurable approach to such service-oriented adaptation.
Flexible Adaptivity in AEHS Using Policies (page 410)Arne W. Koesling, Daniel Krause, and Eelco Herder
In this paper, we show how existing adaptive educational hypermedia systems can be enhanced by policies. In traditional systems, the adaptation is based on predened user and domain models and fairly restricted adaptation rules. Policies allow for sophisticated and flexible
adaptation rules, provided by multiple stakeholders. We present the benefits and feasibility of the approach with AHA! as a hands-on example.
SemWeB: A Semantic Web Browser for Supporting the Browsing of Users Using Semantic and Adaptive Links (page 431)Melike Sah, Wendy Hall, and David C. De Roure
Web browsing is a complex activity and in general, users are not guided during browsing. The aim of this research is to support the browsing of users using semantic and adaptive hyperlinks using Semantic Web technologies and personalization methods. In this paper, we propose a novel Semantic Web browser (SemWeB), which uses a behavior-based and an ontology-driven user modeling architecture. In our approach, semantic links and adaptive hypermedia can be achieved on different websites. In addition, user profiles can be easily updated with semantic metadata coming from the Semantic Web browser.