Abstract
After the advancement of the internet technology, user can get any information on tourism. Tourism is the world’s largest and fastest growing industry. It contains so many things like accommodation, food, events, transportation package, etc. So information must be reliable because tourism product is intangible in nature. Customer cannot physically evaluate the service until he/she physically experienced but there are some areas where a greater measure of intelligence is required. The Semantic Web did a lot of work to enhance the Web by enriching its content with semantic data. E-Tourism is a good candidate for such enrichment, since it is an information-based business. In this paper, we are constructing E-Tourism ontology to provide intelligent tourism service. The algorithm is designed to integrate data from different reliable sources and structure properly in tourism knowledge base for efficiently searching the data.
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Agarwal, J. et al. (2014). Semantic Search in E-Tourism Services: Making Data Compilation Easier. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_86
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DOI: https://doi.org/10.1007/978-81-322-1602-5_86
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