An intelligent and context-aware touring system based on ontology

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

Abstract

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
Pages452-457
Number of pages6
ISBN (Print)9783319922690
DOIs
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
Volume850
ISSN (Print)1865-0929

Conference

Conference20th International Conference on HCI, HCI International 2018
CountryUnited States
CityLas Vegas
Period18-07-1518-07-20

Fingerprint

Context-aware
Ontology
Recommendations
Mobile devices
Data mining
Personalized Recommendation
Information Quality
Mobile Applications
Taiwan
Causality
Mobile Devices
Data Mining
Roots
Relationships

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Wang, C. (2018). An intelligent and context-aware touring system based on ontology. In C. Stephanidis (Ed.), HCI International 2018 – Posters’ Extended Abstracts - 20th International Conference, HCI International 2018, Proceedings (pp. 452-457). (Communications in Computer and Information Science; Vol. 850). Springer Verlag. https://doi.org/10.1007/978-3-319-92270-6_65
Wang, Chian. / An intelligent and context-aware touring system based on ontology. HCI International 2018 – Posters’ Extended Abstracts - 20th International Conference, HCI International 2018, Proceedings. editor / Constantine Stephanidis. Springer Verlag, 2018. pp. 452-457 (Communications in Computer and Information Science).
@inproceedings{0199b7411ae24487a1df08d8b64a28f8,
title = "An intelligent and context-aware touring system based on ontology",
abstract = "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.",
author = "Chian Wang",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/978-3-319-92270-6_65",
language = "English",
isbn = "9783319922690",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "452--457",
editor = "Constantine Stephanidis",
booktitle = "HCI International 2018 – Posters’ Extended Abstracts - 20th International Conference, HCI International 2018, Proceedings",
address = "Germany",

}

Wang, C 2018, An intelligent and context-aware touring system based on ontology. in C Stephanidis (ed.), HCI International 2018 – Posters’ Extended Abstracts - 20th International Conference, HCI International 2018, Proceedings. Communications in Computer and Information Science, vol. 850, Springer Verlag, pp. 452-457, 20th International Conference on HCI, HCI International 2018, Las Vegas, United States, 18-07-15. https://doi.org/10.1007/978-3-319-92270-6_65

An intelligent and context-aware touring system based on ontology. / Wang, Chian.

HCI International 2018 – Posters’ Extended Abstracts - 20th International Conference, HCI International 2018, Proceedings. ed. / Constantine Stephanidis. Springer Verlag, 2018. p. 452-457 (Communications in Computer and Information Science; Vol. 850).

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

TY - GEN

T1 - An intelligent and context-aware touring system based on ontology

AU - Wang, Chian

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85061533215&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061533215&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-92270-6_65

DO - 10.1007/978-3-319-92270-6_65

M3 - Conference contribution

AN - SCOPUS:85061533215

SN - 9783319922690

T3 - Communications in Computer and Information Science

SP - 452

EP - 457

BT - HCI International 2018 – Posters’ Extended Abstracts - 20th International Conference, HCI International 2018, Proceedings

A2 - Stephanidis, Constantine

PB - Springer Verlag

ER -

Wang C. An intelligent and context-aware touring system based on ontology. In Stephanidis C, editor, HCI International 2018 – Posters’ Extended Abstracts - 20th International Conference, HCI International 2018, Proceedings. Springer Verlag. 2018. p. 452-457. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-92270-6_65