Ontology-Based Intelligent Web Mining Agent for Taiwan Travel

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

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

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.
原文未定義
主出版物標題Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
出版地Washington, DC, USA
發行者IEEE Computer Society
頁面421-424
頁數4
ISBN(列印)978-0-7695-3801-3
DOIs
出版狀態已發佈 - 2009
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出版系列

名字WI-IAT '09
發行者IEEE Computer Society

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