Proceedings of the Joint International Workshop on Adaptivity, Personalization &Amp; The Semantic Web - APS '06 2006
DOI: 10.1145/1149933.1149935
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Adaptive hypermedia for the semantic web

Abstract: In the area of technology enhanced learning reusability and interoperability issues essentially influence the productivity and efficiency of learning and authoring tools. This paper aims at addressing the issues of missing standards in the area of adaptivity and personalization, what causes interoperability problems that are usually solved by means of the Semantic Web. There are two basic approaches how to overcome the interoperability problems - one attempts to do it via standards and the other by means of th… Show more

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Cited by 8 publications
(6 citation statements)
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“…For that, we refer to adaptive hypermedia systems that consider five models to present the knowledge driving the adaptation process (Aroyo, L. et al 2006). The set of proposed models in (Kravčík, M. et al 2006) are the domain model, the user model, the context model, the activity model and the adaptation models. ▪ Context model: it refers to the context in which the learning take place, it describe the circumstances and "the environment characteristics" in which the learning process occurs (Kravčík, M. et al 2006) such as spatial and temporal dimensions.…”
Section: Proposed Models For Solementioning
confidence: 99%
See 1 more Smart Citation
“…For that, we refer to adaptive hypermedia systems that consider five models to present the knowledge driving the adaptation process (Aroyo, L. et al 2006). The set of proposed models in (Kravčík, M. et al 2006) are the domain model, the user model, the context model, the activity model and the adaptation models. ▪ Context model: it refers to the context in which the learning take place, it describe the circumstances and "the environment characteristics" in which the learning process occurs (Kravčík, M. et al 2006) such as spatial and temporal dimensions.…”
Section: Proposed Models For Solementioning
confidence: 99%
“…The set of proposed models in (Kravčík, M. et al 2006) are the domain model, the user model, the context model, the activity model and the adaptation models. ▪ Context model: it refers to the context in which the learning take place, it describe the circumstances and "the environment characteristics" in which the learning process occurs (Kravčík, M. et al 2006) such as spatial and temporal dimensions. Complementing the user model ▪ Domain model: it aims to conceptualize the design of adaptive and self-regulated hypermedia application and to specify what to provide, adapt and regulate (Kravčík, M. et al 2006).…”
Section: Proposed Models For Solementioning
confidence: 99%
“…Nevertheless we still can define the broad strokes that form the clay into the desired adaptive hypermedia model (Figure 3c) and shake the thrones of existing models. Basing on the Enhanced AHAM (Kravčík & Gašević, 2006) which in turn is based on the Dexter-based AHAM (De Bra et al, 1999) the main effects on the different layers of the model are:…”
Section: Computer Supported Cooperative Work (Cscw)mentioning
confidence: 99%
“…Thus no precise differentiation between withincomponent and inter-component relations, it is only a matter of presentation and level of abstraction. • Domain model: The Enhanced AHAM (Kravčík & Gašević, 2006) divided this model into two interconnected networks of objects, complying with the conceptual hypertext approach mentioned earlier. With different kinds of semantic relations between the concepts in the knowledge space in addition to the relationship between the hyperdocuments in the hyperspace which have different standards, such can be found for example in the Dublin Core Metadata Initiative ("dublincore.org").…”
Section: Computer Supported Cooperative Work (Cscw)mentioning
confidence: 99%
“…The subjects discussed in the accepted papers are: 1. Kravčík [5] aims at addressing the issues of missing standards in the area of adaptivity and personalization, what causes interoperability problems that are usually solved by means of the Semantic Web. 2.…”
Section: Introductionmentioning
confidence: 99%