An intelligent and context-aware touring system based on ontology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


With the explosive development of mobile applications, users can find a tremendous amount of travel information with just a few phone taps. However, from the perspective of information quality, most applications lack a well-organized structure that can fit various user needs. On the other hand, it is also important to consider the cultural and historical characteristics of the visited sites, in addition to focusing on sightseeing. The reason is that there are often some specific relationships among the sites. For example, many temples in Taiwan are branched from a root temple. Thus, the presented information should not be limited to a single site at a single time point. A mechanism that can help users to get the desired information more effectively and efficiently is preferred. In this paper, we are going to present an intelligent and context-aware touring system by developing an active recommendation mechanism and application. We will adopt ontology to construct the temporal, spatial, and causality relationships among the tourist attractions. Then, a personalized recommendation mechanism will be developed by integrating context-aware and data mining techniques to make recommendation decisions and “push” the information to the user’s mobile devices. In this way, users can get the most appropriate information while sightseeing.

Original languageEnglish
Title of host publicationHCI International 2018 – Posters’ Extended Abstracts - 20th International Conference, HCI International 2018, Proceedings
EditorsConstantine Stephanidis
PublisherSpringer Verlag
Number of pages6
ISBN (Print)9783319922690
Publication statusPublished - 2018 Jan 1
Event20th International Conference on HCI, HCI International 2018 - Las Vegas, United States
Duration: 2018 Jul 152018 Jul 20

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929


Conference20th International Conference on HCI, HCI International 2018
CountryUnited States
CityLas Vegas

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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