# A Big Data and Time Series Analysis Technology-Based Multi-Agent System for Smart Tourism
## 1 Introduction  
According to the Smart Tourism Report 2015, as based on the tourism statistics of the Taiwanese Government 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. In the face of the fast-growing number of international tourists, which is expected to exceed 10 million, Taiwan must consider a complete solution for smart tourism according to its advantages in the ICT industries, which feature high added value and global exemplary effects. This is the greatest motivation for this paper, to explore smart tourism.  
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. Therefore, it is almost impossible to process big data with most traditional database management systems; instead, it must be processed by \"software that can simultaneously operate on more than tens of, hundreds of, and even thousands of servers [1,2].\" [PERSON] [3] argued that data periods are not necessarily as massive as TB, PB, or EB (exabytes, EB = 1018 = 1000 PB, petabytes = 1000 TB,terabytes = 1000 GB, gigabytes), but must be in a \"complete,\" \"relative\" database, or must be processed and analyzed into useful information to show the relationship among the information segments. This is the main reason why this study adopts time-series analysis [4; 5] for relevant analysis. Thus, the greatest challenge for this paper is to support the Dr. What-Info III system, which is based on big data technology, and to determine the feasibility of further research on Dr. What-Info and its expansion.  
As mentioned by [PERSON], Google CEO at the Asian-Pacific event \"The Mobile First World\" in November 2014, \"The mobile revolution has driven industries from the Web First to Mobile First and then Mobile Only.\" According to [PERSON], the Director-General of Taiwan's Internet of Things Alliance and Chairman of Flowring Technology, 2015 marked the transition from the Electronic Era to the Intelligence Era; from the perspective of intelligence, the Internet of Things, cloud technology, big data, mobile devices, and community media should be the five indispensable factors of the Intelligence Era. Based on the creation principle of Mobile Only, Dr. What-Info [6] aims to improve the development of mobile device-related practical technologies. With the assistance of cloud technology, Dr. What-Info II [7] introduces the latest, accurate, and complete \"open data by governments\", and combines them with the ontological index architecture, thus, it provides the corresponding value-added services of cloud information with \"mobile\" device positioning technology. With the strong information agent system CEOntoIAS (Cloud Extension of Ontological Information Agent Shell) [8], a suitable LBS (location-based service) is selected to achieve the optimal information solution similar to community-like inquiring and sharing. Finally, Dr. What-Info III, as based on big data technology [9], explores the Internet, which is similar to the Internet of Things (information providers are like information sensors on the Internet), and offers the corresponding useful and latest information. The MapReduce paralleled decrement mechanism [10; 11] of the cloud information agent CEOntoIAS, as established on the Hadoop-like architecture, and the combination of Software R [12] and time series analysis enhance the precision, reliability, and integrity of cloud information, and effectively improves the aforesaid five indispensable factors of the Intelligence Era, and then, contributes to research on the feasibility of Dr. What-Info expansion.