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. Attached Files Name Description MIMEType Size Downloads gao-supportingadaptive-2016.pdf Published version application/pdf 4.98MB 72 Title Supporting adaptive tour with high level petri nets Author(s) 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 Persistent URL http://hdl.handle.net/10536/DRO/DU:30086979 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Tue, 11 Oct 2016, 23:59:08 EST Wed, 12 Oct 2016, 04:12:13 EST Mon, 17 Oct 2016, 10:38:46 EST Mon, 17 Oct 2016, 11:14:25 EST Tue, 18 Oct 2016, 05:11:53 EST Mon, 14 Nov 2016, 09:30:19 EST Mon, 14 Nov 2016, 09:34:26 EST Mon, 14 Nov 2016, 09:35:13 EST Mon, 03 Jul 2017, 12:10:29 EST Fri, 07 Sep 2018, 12:38:55 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 447 Abstract Views, 75 File Downloads  -  Detailed Statistics Created: Mon, 17 Oct 2016, 11:14:25 EST

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.