Development of a Cloud Tourism Supported Platform with Friendly Interfaces based on Linked Open Data and Big Data Analysis Techniques

The tourism statistics of Taiwan's government state that the tourism industry is one of the fastest growing economic sources in the world. Therefore, the demand for a tourism information system with a friendly interface is growing. This research implemented the cloud information service platform based on numerous practical developments in the Dr. What-Info system (i.e., a master multi-agent system on what the information is). This paper further developed a novel citizen-centric cloud information monitoring and recommendation platform for intelligent tourism. Regarding Taiwan travel needs, this research prioritizes the completion of the four most basic and important tourism-related subagents for validating and verifying the feasibility of the proposed platform. The preliminary system presentation can reach the ultimate goal of the proposed system with the accurate, rapid, robust, pervasive and active properties of intelligent mobile Information monitoring and recommendation.