臺灣博碩士論文加值系統

在這篇論文裡我們設計了一個給Mind Map的我們的Cadabia資料庫系統後端以及描述我們的資料庫系統如何去存取處理Mind Map。Cadabia是個三層式的ontology-based資料庫系統，可以存放物件導向的資料。Mind Map又叫心智圖，它是一個可用來表達一個想法，任務，結構等的特殊圖形，近幾年愈來愈受歡迎且已被廣泛應用在各個方面。如果我們使用Mind Map作為資訊儲存的方法的話，一般傳統的資料庫系統是很難對其做資料查詢等動作。因此，我們在Cadabia資料庫設計了一個Mind Map文件轉換系統，這樣使用者就可以使用我們的資料庫來對Mind Map資料做存取或查詢動作。

In this paper we design the Cadabia backend for Mind Maps and describe how to access and handle the Mind Map data by our database system. There are three layers in the Cadabia which is an ontology-based database and able to store the object-oriented data. They are useful to construct concepts that can be shared on the internet. A Mind Map is a diagram used to represent ideas, tasks, structures, or other items linked to and arranged around a central key word or idea. It is more and more popular and has bee used widely in resent years. If we use the Mind Maps as a information storage police, there is a challenge to query the Mind Maps data by the traditional database system. We develop a Mind Map documents transformation system for the Cadabia backend, and users can retrieve the information of the Mind Maps data by our database system.

Chapter 1. Introduction 1
1.1 Semantic Web 1
1.2 Cadabia Database 3
1.3 The Goals of the Cadabia Backend for Mind Maps........................4
Chapter 2. Background 5
2.1 Class Algebra 5
2.1.1 IS-A hierarchy (Class Algebra Ontology) 5
2.2 Relation 8
2.2.1 PartOf Relation 9
2.3 XML 10
2.3.1 XSLT 11
2.4 eXist 12
2.5 Java Remote Method Invocation (RMI) 13
2.6 Mind Map 14
2.6.1 Typed Mind Map 15


Chapter 3. System Architecture 17
3.1 Cadabia Architecture 17
3.1.1 Client Layer 19
3.1.2 Middle Layer 19
3.1.3 Central Authority (CA) 19
3.1.4 Backend Layer 20
3.2 Ontology of Class Algebra in Cadabia Backend 21
3.2.1 Data Structure 21
3.2.2 Class Algebra Ontology 22
3.3 Class, Attribute, and Relation Definitions 24
3.3.1 ClassDefn 24
3.3.2 AttributeDefn 25
3.3.3 RelationDefn 25
Chapter 4. Cadabia Backend for Mind Map 27
4.1 Transformation Rules 27
4.2 Transformation Instances 28
4.2.1 XML documents of the Typed Mind Maps 31
4.3 Transformation System 32
4.4 XSLT Processor 34

Chapter 5. Conclusions and Future Work 36
5.1 Conclusions 36
5.2 Future Work 37
References 38

Chapter 1. Introduction1
1.1 Semantic Web1
1.2 Cadabia Database3
1.3 The Goals of the Cadabia Backend for Mind Maps........................4
Chapter 2. Background5
2.1 Class Algebra5
2.1.1 IS-A hierarchy (Class Algebra Ontology)5
2.2 Relation8
2.2.1 PartOf Relation9
2.3 XML10
2.3.1 XSLT11
2.4 eXist12
2.5 Java Remote Method Invocation (RMI)13
2.6 Mind Map14
2.6.1 Typed Mind Map15


Chapter 3. System Architecture17
3.1 Cadabia Architecture17
3.1.1 Client Layer19
3.1.2 Middle Layer19
3.1.3 Central Authority (CA)19
3.1.4 Backend Layer20
3.2 Ontology of Class Algebra in Cadabia Backend21
3.2.1 Data Structure21
3.2.2 Class Algebra Ontology22
3.3 Class, Attribute, and Relation Definitions24
3.3.1 ClassDefn24
3.3.2 AttributeDefn25
3.3.3 RelationDefn25
Chapter 4. Cadabia Backend for Mind Map27
4.1 Transformation Rules27
4.2 Transformation Instances28
4.2.1 XML documents of the Typed Mind Maps31
4.3 Transformation System32
4.4 XSLT Processor34

Chapter 5. Conclusions and Future Work36
5.1 Conclusions36
5.2 Future Work37
References38