An intelligent ontology and Bayesian network based semantic mashup for tourism

  • Wei Wang
  • , Guosun Zeng
  • , Dongqi Zhang
  • , Yu Huang
  • , Yufeng Qiu
  • , Xiaojun Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Scopus citations

Abstract

A common perception is that there are two competing vision for the future evolution of the Web: the Semantic Web and Web 2.0. In fact, Semantic Web technologies must integrate with Web 2.0 services for both to leverage each other's strengths. This paper illustrates how Semantic Web technologies can support information integration and make it easy to create semantic mashups. An intelligent recommendation system for tourism is presented to show the efficiency of our method. Through the ontology of tourism, the system allows the integration of heterogeneous online travel information. Based on Bayesian network technique method, the system recommends tourist attractions to a user by taking into account the travel behaviour both of the user and of other users.

Original languageEnglish
Title of host publicationProceedings - 2008 IEEE Congress on Services, SERVICES 2008
Pages128-135
Number of pages8
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE Congress on Services, SERVICES 2008 - Honolulu, HI, United States
Duration: 6 Jul 200811 Jul 2008

Publication series

NameProceedings - 2008 IEEE Congress on Services, SERVICES 2008
VolumePART 1

Conference

Conference2008 IEEE Congress on Services, SERVICES 2008
Country/TerritoryUnited States
CityHonolulu, HI
Period6/07/0811/07/08

Keywords

  • Mashup
  • Ontology
  • Semantic web
  • Web2.0

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