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研究生:曾志國
研究生(外文):TSENG,CHIH-KUO
論文名稱:具親和介面與穿戴裝置、GPS及鏈結開放資料支援之雲端旅遊資訊多重代理系統
論文名稱(外文):A Cloud Tourism Information Multi-Agent System with Friendly Interfaces Based on Wearable Devices, GPS, and Linked Open Data Technology
指導教授:楊勝源
指導教授(外文):YANG,SHENG-YUAN
口試委員:杜日富謝鴻琳楊勝源
口試委員(外文):DU,RIH-FUSIE,HONG-LINYANG,SHENG-YUAN
口試日期:2020-06-29
學位類別:碩士
校院名稱:聖約翰科技大學
系所名稱:資訊與通訊系碩士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:51
中文關鍵詞:穿戴式裝置全球定位系統鏈結開放資料雲端旅遊多重代理系統
外文關鍵詞:Wearable devicesGPSLinked open dataCloud tourism multi-agent systems
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臺灣政府旅遊統計資料表明,旅遊業是世界上成長最快的經濟來源之一。因此,對具友善介面之旅遊資訊系統的需求也在成長。本研究依據Dr.What-Info系統(即關於資訊內容為何之達人多重代理系統)的大量實際開發,實現了雲端資訊服務平台的建設。該技術於臺灣政府開放資料之基礎上研發了通用型應用介接(universal application interface; UAI)技術。旨在透過本地GPS位置擷取,並根據不同資料格式和智慧連結不同的API,藉以支援三階段智慧決策和三層地址UAI技術比較。本論文則基於穿戴式裝置、GPS及鏈結開放資料技術,進一步開發出一種正確、可靠、整合的旅遊雲端資訊監控與推薦多重代理系統。它代表了兼具精準、快速、強韌、普適與主動等特性之智慧型行動資訊監控與推薦多重代理系統的建立。文中系統經實驗證明是成功的技術整合,在文獻中亦屬於創新工作。儘管在經驗上仍有改進餘地,且可能還有更多旅遊相關的代理系統值得探究,但所提出之服務架構的可行性已獲得證明,包括:根據Tu的LBS比較表,所提出系統獲得之整體功能達標率為87.5%,其推薦提供使用者之資訊正確性和使用者滿意度也較高;根據Quesenbery的5E原則和Nielsen原則評分,所提出系統可用性及介面設計易用性的滿意度得分為84分;介面設計驗證結果表明,我們提出系統的人機介面能滿足重要的設計偏好,並提供平均BI = 0.008430的接近最佳介面平衡。
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 implements 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 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 develops a correct, authentic, and integrated multi-agent system for tourism cloud information monitoring and recommendation based on wearable devices, GPS, and linked open data technology, representing the establishment of an intelligent mobile information monitoring and recommendation multi-agent system with the characteristics of precision, rapidity, toughness, universality, and initiative. 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, such as 1) based on Tu’s comparison table for LBSs, the proposed system receives an overall function’s up-to-standard rate of 87.5%, and such recommendations provide users with high information correctness and user satisfaction; 2) the satisfaction score of the usability of the proposed system and the ease of using the interface design is 84 points in terms of Quesenbery’s 5Es and Nielsen ratings; 3) 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 with average BI = 0.008430.
中文摘要 iv
Abstract v
目 錄 vii
圖目錄 viii
表目錄 ix
致 謝 x
第一章 緒論 1
1.1. 研究動機 1
1.2. 研究目的 1
1.3. 應用領域 3
1.4. 論文架構 4
第二章 文獻分析及討論與開發技術 5
2.1. 穿戴式裝置 5
2.2. 鏈結開放資料 5
2.3. 適地性服務 6
2.4. 網路服務 7
2.5. 本章小結 8
第三章 所提出的系統技術、架構、操作 9
3.1. 領域本體論及相關本體服務 9
3.2. 建立基於 UAI 的 LOD 存取技術 11
3.3. WIAS 架構 13
3.4. 利用 CEOntoIAS設計和建構 Dr. What-Info系統 16
3.5. 系統前端 APP 的建置 18
第四章 系統呈現與效能評估 21
4.1. 系統開發軟體 21
4.2. 系統呈現 22
4.3. 系統評估 25
第五章 結論與討論 34
5.1. 結論 34
5.2. 討論 35
參考文獻 37
作者簡介 42

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