Using UML and XMI for generating adaptive navigation sequences in web-based systems

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OriginalspracheEnglisch
Titel des SammelwerksLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Herausgeber/-innenPerdita Stevens, Jon Whittle, Grady Booch
Herausgeber (Verlag)Springer Verlag
Seiten205-219
Seitenumfang15
ISBN (Print)9783540202431
PublikationsstatusVeröffentlicht - 2003

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band2863
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Abstract

In this paper we discuss a method for modelling and generating adaptive navigation sequences from the UML state diagrams. The method is discussed on a case of adaptive e-course. Latest advances in UML model representation by means of XML based metadata interchange format can be successfully utilized for adaptive generation of the adaptive navigation sequences and can speed up a prototyping of navigation support in adaptive web-based systems. Adaptive generation means that generator can be parametrized. The generator can generate modified navigation support and appearance of information based on the observed user features according to the parameters . The widely accepted standard based means and tools for XML technology are used for implementing a method for transforming UML state diagrams into web site graph and visualization of that graph.

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Using UML and XMI for generating adaptive navigation sequences in web-based systems. / Dolog, Peter; Nejdl, Wolfgang.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Hrsg. / Perdita Stevens; Jon Whittle; Grady Booch. Springer Verlag, 2003. S. 205-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 2863).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandBeitrag in Buch/SammelwerkForschungPeer-Review

Dolog, P & Nejdl, W 2003, Using UML and XMI for generating adaptive navigation sequences in web-based systems. in P Stevens, J Whittle & G Booch (Hrsg.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 2863, Springer Verlag, S. 205-219. https://doi.org/10.1007/978-3-540-45221-8_19
Dolog, P., & Nejdl, W. (2003). Using UML and XMI for generating adaptive navigation sequences in web-based systems. In P. Stevens, J. Whittle, & G. Booch (Hrsg.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (S. 205-219). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 2863). Springer Verlag. https://doi.org/10.1007/978-3-540-45221-8_19
Dolog P, Nejdl W. Using UML and XMI for generating adaptive navigation sequences in web-based systems. in Stevens P, Whittle J, Booch G, Hrsg., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2003. S. 205-219. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-45221-8_19
Dolog, Peter ; Nejdl, Wolfgang. / Using UML and XMI for generating adaptive navigation sequences in web-based systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Hrsg. / Perdita Stevens ; Jon Whittle ; Grady Booch. Springer Verlag, 2003. S. 205-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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