Abstract
This study focuses on presenting a development trend from the perspective of data-oriented evidence, especially open data and technologies, as those numbers can verify and prove current technology trends and user information requirements. According to the practical progress of Dr. What-Info I and II, this paper continues to develop Dr. What-Info III. Moreover, big data technology, the MapReduce paralleled decrement mechanism of the cloud information agent CEOntoIAS, which is supported by a Hadoop-like framework, Software R, and time series analysis are adopted to enhance the precision, reliability, and integrity of cloud information. Furthermore, the proposed system app receives a collective satisfaction score of 80% in terms of Quesenbery’s 5Es and Nielsen ratings. In addition, the verification results of the interface design show that the human-machine interface of our proposed system can meet important design preferences and provide approximately optimal balance. The top-n experiment shows that the top-5 recommendations would be better for solving the traditional tradeoff between output quality and processing time. Finally, the system effectiveness experiments indicate that the proposed system receives an overall up-to-standard function rate of 87.5%, and such recommendations provide this system with high information correctness and user satisfaction. Although there is plenty of room for improvement in experience, the feasibility of this service architecture has been proven.
Highlights
According to the Smart Tourism Report 2015, as based on the tourism statistics of the TaiwaneseGovernment and released by the United Daily News, tourism has become one of the fastest-growing economic sources in the world, accounting for 10% of the global GDP and generating 277 million jobs
Big data refers to information that is so massive it is impossible to manually obtain, manage, process, or summarize it into information interpreted by human beings within an appropriate period
Adopt the camera or recorder of mobile information devices, the semantic analysis and Chinese-English multimedia recognition technology is supported by domain ontology, and the strong information agent system, called CEOntoIAS, which is located on the back-end of the network, establishes an accurate, quick, and effective camera recognition-based smart mobile multi-agent prototype system of “tourist” information inquiring and sharing
Summary
According to the Smart Tourism Report 2015, as based on the tourism statistics of the Taiwanese. Adopt the camera or recorder of mobile information devices, the semantic analysis and Chinese-English multimedia recognition technology is supported by domain ontology, and the strong information agent system, called CEOntoIAS, which is located on the back-end of the network, establishes an accurate, quick, and effective camera recognition-based smart mobile multi-agent prototype system of “tourist” information inquiring and sharing.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
