A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
From Web to workplace: designing open hypermedia systems
From Web to workplace: designing open hypermedia systems
Conceptual linking: ontology-based open hypermedia
Proceedings of the 10th international conference on World Wide Web
User Modeling and User-Adapted Interaction
Extendible Adaptive Hypermedia Courseware: Integrating Different Courses and Web Material
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Using Open Hypermedia to Support Information Integration
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
Personalization in distributed e-learning environments
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
A logical characterization of adaptive educational hypermedia
Hypermedia - Special issue: Adaptive hypermedia in the age of the adaptive web
Personalizing access to learning networks
ACM Transactions on Internet Technology (TOIT)
Adaptive systems in the era of the semantic and social web, a survey
User Modeling and User-Adapted Interaction
Ontological technologies for user modelling
International Journal of Metadata, Semantics and Ontologies
Open corpus adaptive educational hypermedia
The adaptive web
Dynamic linking and personalization on web
Proceedings of the 2010 ACM Symposium on Applied Computing
The next generation authoring adaptive hypermedia: using and evaluating the MOT3.0 and PEAL tools
Proceedings of the 21st ACM conference on Hypertext and hypermedia
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This paper proposes a knowledge modeling approach for adaptive, open corpus hypermedia systems. Our approach towards adaptive, open corpus hypermedia is based on interpreting standard metadata of learning objects. For each corpus of documents integrated into the open adaptive hypermedia system (OAHS) we are calculating subgraphs of the ontology for estimating the user's knowledge with respect to this corpus. This enables the OAHS to understand the knowledge contained in learning materials, to make estimations about an individual user's knowledge state and to learn the prerequisite knowledge required for learning objects from given structures in the materials.