Supporting adaptive tour with high level petri nets
Gao, Shang, Niu, Junyu and Sun, Dawei 2016, Supporting adaptive tour with high level petri nets, in KES 2016 : Proceedings of the 20th Knowledge Based and Intelligent Information and Engineering Systems International Conference, Elsevier, Amsterdam, The Netherlands, pp. 81-89, doi: 10.1016/j.procs.2016.08.098.
One of the issues for tour planning applications is to adaptively provide personalized advices for different types of tourists and tour activities. This paper proposes a high level Petri Nets based approach to providing some level of adaptation by implementing adaptive navigation in a tour node space. The new model supports dynamic reordering or removal of tour nodes along a tour path; it supports multiple travel modes and incorporates multimodality within its tour planning logic to derive adaptive tour. Examples are given to demonstrate how to realize adaptive interfaces and personalization. Future directions are also discussed at the end of this paper.
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.