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Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2009)
Milan, Italy
Sept. 15, 2009 to Sept. 18, 2009
ISBN: 978-0-7695-3801-3
pp: 421-424
ABSTRACT
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.
INDEX TERMS
Agent, Fuzzy Inference, Particle Swarm Optimization, Ant Colony Optimization component
CITATION

J. Chiang, Y. Chang and P. Yang, "Ontology-Based Intelligent Web Mining Agent for Taiwan Travel," 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Milan, Italy, 2009, pp. 421-424.
doi:10.1109/WI-IAT.2009.316
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