A framework for delivering personalized e-Government tourism services

Al-Hassan, M; Lu, H; Lu, J

A framework for delivering personalized e-Government tourism services

Al-Hassan, M Lu, H

Lu, J

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Publication Type:: Conference Proceeding
Citation:: WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology, 2010, 2 pp. 263 - 270
Issue Date:: 2010-09-09

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Field	Value	Language
dc.contributor.author	Al-Hassan, M	en_US
dc.contributor.author	Lu, H https://orcid.org/0000-0001-5655-0237	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.date.issued	2010-09-09	en_US
dc.identifier.citation	WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology, 2010, 2 pp. 263 - 270	en_US
dc.identifier.isbn	9789896740252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16176
dc.description.abstract	E-government (e-Gov) has become one of the most important parts of government strategies. Significant efforts have been devoted to e-Gov tourism services in many countries because tourism is one of the major profitable industries. However, the current e-Gov tourism services are limited to simple online presentation of tourism information. Intelligent e-Gov tourism services, such as the personalized e-Gov (Pe-Gov) tourism services, are highly desirable for helping users decide "where to go, and what to do/see" amongst massive number of destinations and enormous attractiveness and activities. This paper proposes a framework of Pe-Gov tourism services using recommender system techniques and semantic ontology. This framework has the potential to enable tourism information seekers to locate the most interesting destinations with the most suitable activities with the least search efforts. Its workflow and some outstanding features are depicted with an example.	en_US
dc.relation.ispartof	WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology	en_US
dc.title	A framework for delivering personalized e-Government tourism services	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2	en_US
utslib.for	0804 Data Format	en_US
dc.location.activity	Valencia, Spain	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

E-government (e-Gov) has become one of the most important parts of government strategies. Significant efforts have been devoted to e-Gov tourism services in many countries because tourism is one of the major profitable industries. However, the current e-Gov tourism services are limited to simple online presentation of tourism information. Intelligent e-Gov tourism services, such as the personalized e-Gov (Pe-Gov) tourism services, are highly desirable for helping users decide "where to go, and what to do/see" amongst massive number of destinations and enormous attractiveness and activities. This paper proposes a framework of Pe-Gov tourism services using recommender system techniques and semantic ontology. This framework has the potential to enable tourism information seekers to locate the most interesting destinations with the most suitable activities with the least search efforts. Its workflow and some outstanding features are depicted with an example.

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http://hdl.handle.net/10453/16176