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研究生： 陳友聯
Brian - Tanutama Zunaedy
論文名稱： 設計具情境感知內容之知識本體輔助健康促進系統
A Design of Context Awareness Ontology with Recommendation System for Supporting Health Promotion System
指導教授： 周碩彥
Shuo-Yan Chou
口試委員: 林承哲
Cheng-Jhe Lin
查士朝
Shi-Cho Cha
學位類別： 碩士
Master
系所名稱： 管理學院 - 工業管理系
Department of Industrial Management
論文出版年： 2014
畢業學年度： 102
語文別： 英文
論文頁數： 50
外文關鍵詞： Health Promotion System, Case Base Reasoning
相關次數： 點閱：144  下載：0 
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    • Health Promotion, today is one of the topic that steal attention not only from researcher but also from developer, so it is natural if nowadays there are so many research and application that have correlation with health promotion. The goal is to give user ability to pursue better healthy life. To achieve this goal they make a system to promote healthy life, this kind of system known as Health Promotion System. Health promotion system need to have capability to give effective recommendation to user, but nowadays the recommendation that made from Health Promotion System is just push information to user, and this method is not really effective to user. That is why people try to create Context Aware Health Promotion System that can retrieve context information from user’s current environment. If Health Promotion System can know user context more clearly, it can produce more impactful recommendation that can trigger user to do the system recommendation.
    In this research an ontology to support Context Aware Health Promotion System has been designed. Ontology is specification of a conceptualization, it is used to shared common understanding about structure of information. In this research we want other people can understand clearly the structure of our system, so in the future, they also can extend this ontology to face future scenario. Other reason why we chose ontology is because, ontology have reuse ability, means that it allow to use other proposed ontology knowledge based. In the Context Aware Health Promotion System, many data set is needed, that’s why other ontology knowledge based will be very helpful.
    Ontology also can be used to do activity recognition, this process allow system to know what kind of activity that user do right now. To do activity recognition, ontology alone is not enough, some reasoning is needed to effectively recognize activity. Case Based Reasoning (CBR) is chosen to be the ontology reasoner, this combination called Ontology Based Case Based Reasoning. CBR has capability to reuse its previous cases that stored in its cases pool and not only that, CBR also can store the new case so it can be use later. The contribution of this research is to design an ontology and recommendation system to support Context Aware Health Promotion System.

    Abstract iii Acknowledge iv Table of Contents v List of Figure vii List of Tables viii Chapter 1 Introduction 1 1.1 Background and Motivation 1 1.2 Objective 3 1.3 Methodology 3 1.4 Organization of Thesis 4 Chapter 2 Literature Review 5 2.1 Health Promotion 5 2.2 Ontology 8 2.3 Case Based Reasoning 12 2.4 Ontology Based Case Based Reasoning 14 Chapter 3 Context Aware Health Promotion System Ontology 16 3.1 Reason Using Ontology 16 3.2 Proposed Ontology 18 3.2.1 User Class 20 3.2.2 Location Class 22 3.2.3 Activity Class 24 3.2.4 Artifact Class 25 3.2.5 UserInformation Class 26 3.2.6 Humidex 27 3.2.7 Recommendation Class 27 3.3 Ontology in Protege and XML Example 28 Chapter 4 Recommendation System 31 4.1 What the attribute that drive you to do an exercise 31 4.1.1 The Questionnaire and Result 31 4.2 Proposed Recommendation System 33 4.3 Activity Recognition 35 Chapter 5 Conclusion and Future Works 37 References 39

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