Travel Ontology for Recommendation System based on Semantic Web

Author

Choi, Chang ; Cho, Miyoung ; Kang, Eui-young ; Kim, Pankoo

Author_Institution

Dept. of Comput. Sci., Chosun Univ.

Volume

1

fYear

2006

fDate

20-22 Feb. 2006

Firstpage

624

Lastpage

627

Abstract

This paper presents the travel ontology to retrieve information from recommendation system based on semantic Web. The metadata is made by preference profile and transaction profile. Information repository is consisting of travel information and ontology. The travel ontology is made by OWL, rule based on description logic. The top class is travel as the domain to build the travel ontology. And accommodation, activity, food and transportation are selected as the upper class. The subclass of the activities consists of leisure sports and tourism culture. At last, the result of Recommendation following scenario using OWL-QL is shown. We propose the travel recommendation system in semantic Web using ontology. As you know, we can easily insert attributes to ontology. Besides we can inference from rules and properties in ontology

Keywords

information retrieval; meta data; ontologies (artificial intelligence); semantic Web; travel industry; description logic; information retrieval; leisure sports; metadata; recommendation system; semantic Web; tourism culture; travel information; travel ontology; Collaboration; Computer science; Information filtering; Information filters; Information retrieval; Logic; OWL; Ontologies; Semantic Web; Web and internet services; Recommendation System; Semantic Web; Travel Ontology;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology, 2006. ICACT 2006. The 8th International Conference

Conference_Location

Phoenix Park

Print_ISBN

89-5519-129-4

Type

conf

DOI

10.1109/ICACT.2006.206046

Filename

1625651