A Cloud Information Monitoring and Recommendation Multi-Agent System with Friendly Interfaces for Tourism

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 se...

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Bibliographic Details
Published inApplied sciences Vol. 9; no. 20; p. 4385
Main Authors Chen, Kune-Yao, Yang, Sheng-Yuan
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.10.2019
Subjects
cloud tourism multi-agent systems
Decision making
Global positioning systems
GPS
Information systems
Intelligence
Interfaces
Linked Data
linked open data
Monitoring
Ontology
Personal health
Technology
Tourism
Trends
wearable devices
Taiwan
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app9204385