臺灣博碩士論文加值系統

在目前的許多醫療部門中，例如病房，手術室，急診室和復健中心，資訊科技的應用扮演著舉足輕重的角色。在資訊科技的主導下，生物醫學知識和數據更易於取得，以利進一步理解、比較、分析與交流。因此，在生物資訊學文獻中，本體論被認為是一種適用於發展生物醫學知識和資料陳述的資訊科技。本體論技術藉由自動推理和圖形視覺化的加強，有助於提升人類對於生物醫學中知識的理解及複雜資訊處理的能力。
復健醫學已經和預防醫學、治療醫學和臨床醫學並列，且成為目前的醫學領域裡重要的一環。在本論文中，我們利用本體論技術建構一個復健資訊平台OntoRis，用來提供復健醫學的資訊，並且利用代理人技術去尋找網路上存在的本體後，合併到OntoRis中，以提供更多的復健醫學資訊。OntoRis可以讓病患搜尋自己所正在進行復健的資訊，提供以實證醫學為基礎的知識，以幫助病患及早恢復。此外，OntoRis也可以作為一個互動的學習平台，讓有興趣的人更加了解復健醫學。

Information technologies have played key roles in a wide range of applications such as hospital wards, operating rooms, emergency departments, and rehabilitation centers. This dominating role of information technology has made biomedical knowledge and data more accessible for human comprehension, comparison, analysis and communication. In this context, ontology has been recognized in the bioinformatics literature as a suitable technique for advancing knowledge and data representations in Biomedicine. With the enhancement of automated reasoning and graphical visualization, ontology technology is capable of providing support for human comprehensibility as well as in dealing with the complexity inherent to this domain.
Rehabilitation medicine has become an important part of medicine field, which is apposition to preventive medicine, health care medicine and clinic medicine.
In this thesis, we describe our development of ontology-based application OntRis for providing rehabilitation information service, and use Agent technology to search exist ontologies on the internet and combine with the foundation ontology on the OntRis which enhance OntRis makes it provide more information related to rehabilitation. The OntRis is designed for patients to acquire comprehensive information about his/her prescribed rehabilitation with evidence-based medicine supported tips to expedite recovery. Moreover, the OntRis can also serve as an interactive learning platform for people who are interested in rehabilitation medicine.

Acknowledgements iii
摘要 iv
Abstract v
List of Figures ix
List of Tables x
List of Tables x
Chapter 1 Introduction 1
1.1. Background and Motivation 1
1.2. Research Objective 7
1.3. Research Overview 7
Chapter 2 Literature Review 9
2.1. Traditional database approach to medical KBS 9
2.2. Ontology 10
2.2.1. The concept and definition of ontology 10
2.2.2. Ontology components 12
2.2.3. Ontology language 13
2.2.4. OWL 16
2.2.5. Ontology tools 18
2.2.5.1. Protégé-OWL Editor 18
2.2.5.2. TopBraid Composer Maestro Edition 19
2.2.6. Building domain ontology 20
2.2.7. Search ontologies on internet 21
2.3. Ontology base medical KBS 22
2.4. Mobile Agent Technology 23
2.4.1. Mobile Agent 23
2.4.2. JADE 25
2.5. Evidence-based medicine and Systematic reviews 26
2.5.1. Cochrane Library 27
Chapter 3 Research Methodology 28
3.1. OntoRis platform design 28
3.2. Agent Environment in OntoRis 29
3.2.1. Agent Containers 30
3.2.2. User Agent 31
3.2.3. Discovery Agent 32
3.2.4. Update Agent 32
3.2.5. Resource Agent 33
3.3. Ontology-based Knowledge Engine 33
3.3.1. Rehabilitation Ontology 34
3.3.2. Inference engine 36
3.3.3. Query engine 38
3.4. User Interface 39
Chapter 4 Implementation 40
4.1 Hardware and software configuration 40
4.2 Initiating the platform 41
4.2.1 Design of Rehabilitation Ontology 41
4.2.2 Query & Inference in Knowledge Engine 46
4.2.3 Agent Environment 47
4.3 Demonstration of Usage Scenario: Using agent to enhance OntRis – an administrator’s perspective. 50
4.4 Demonstration of implement scenario: Acquiring knowledge regarding rehabilitation - from a user’s perspective. 55
Chapter 5 Conclusion Remarks and Future Works 61
5.1 Conclusions 61
5.2 Limitations 61
5.2 Future works 62
Reference 64

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