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This paper focused on designing of a new ubiquitous interface agent based on the ontology technology and interaction diagram with the backend information agent system, i.e., OntoIAS, in cloud computing environments. Through the techniques of packet decoding and recognizing, the agent employs the CURRL to transform user commands into internal canonical format to conveniently process those commands by OntoIAS, which can avoid numerous, jumbled, and incorrect information torrents that results in misunderstanding of the information intention of users. In this paper, we preliminarily proposed a ubiquitous interface agent with the Bluetooth, GPS, and Zigbee techniques and related interaction diagrams in cloud computing environments. The system prototype and experiment outcomes can also reveal the feasibility of the system architecture.

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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 construction of a 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), which developed universal application interface (UAI) technology based on the Taiwan government's open data with the aim of connecting different application programming interfaces (APIs) according to different data formats and intelligence through local GPS location retrieval, in support of three-stage intelligent decision-making and a three-tier address-based UAI technology comparison. This paper further developed a novel citizen-centric multi-agent information monitoring and recommendation system for the tourism sector. The proposed system was experimentally demonstrated as a successful integration of technology, and stands as an innovative piece of work in the literature. Although there is room for improvement in experience and maybe more travel-related agents, the feasibility of the proposed service architecture has been proven.