Ontology-Based Intelligent Web Mining Agent for Taiwan Travel

Yung-Chun Chang, Pei-Ching Yang, Jung-Hsien Chiang

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

5 Citations (Scopus)


Due to the gradual increase in travel, the travel agent plays an important role in providing travel information conform to tourist’s requirements. Taiwan, also known as Formosa, its society is known throughout the world for its sincere hospitality and diverse cultural cuisine, and it has been one of the top tourist attractions in East Asia for years. In this paper, we propose an ontology-based intelligent web mining agent for Taiwan travel. The core technologies of the agent contain the ontology model, fuzzy inference mechanism, particle swarm optimization and ant colony optimization. The proposed agent can help tourist to collect Taiwan travel information form World Wide Web automatically by using tourist’s natural language description or documents. In this way, it will reduce travel agency’s workload and to accelerate the speed of tourist’s getting the travel information.
Original languageUndefined/Unknown
Title of host publicationProceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Place of PublicationWashington, DC, USA
PublisherIEEE Computer Society
Number of pages4
ISBN (Print)978-0-7695-3801-3
Publication statusPublished - 2009
Externally publishedYes

Publication series

NameWI-IAT '09
PublisherIEEE Computer Society


  • Agent, Fuzzy Inference, Particle Swarm Optimization, Ant Colony Optimization component

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