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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.

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Title Supporting adaptive tour with high level petri nets
Author(s) Gao, ShangORCID iD for Gao, Shang orcid.org/0000-0002-2947-7780
Niu, Junyu
Sun, Dawei
Conference name Knowledge Based and Intelligent Information and Engineering Systems. International Conference (20th : 2016 : York, United Kingdom)
Conference location York, United Kingdom
Conference dates 5-7 Sep. 2016
Title of proceedings KES 2016 : Proceedings of the 20th Knowledge Based and Intelligent Information and Engineering Systems International Conference
Editor(s) [Unknown]
Publication date 2016
Conference series Knowledge Based and Intelligent Information and Engineering Systems International Conference
Start page 81
End page 89
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Keyword(s) adaptive tour
colored timed petri nets
adaptive navigation
Science & Technology
Technology
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
Summary 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.
ISSN 1877-0509
Language eng
DOI 10.1016/j.procs.2016.08.098
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 890399 Information Services not elsewhere classified
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution Non-Commercial No-Derivatives licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30086979

Document type: Conference Paper
Collections: School of Information Technology
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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.