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Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/36781
DC FieldValueLanguage
dc.contributor.advisor諶家蘭zh_TW
dc.contributor.advisorSeng, Jia-Langen_US
dc.contributor.author王容zh_TW
dc.contributor.authorWang, Jungen_US
dc.creator王容zh_TW
dc.creatorWang, Jungen_US
dc.date2003en_US
dc.date.accessioned2009-09-18T11:34:48Z-
dc.date.available2009-09-18T11:34:48Z-
dc.date.issued2009-09-18T11:34:48Z-
dc.identifierG0091356024en_US
dc.identifier.urihttps://nccur.lib.nccu.edu.tw/handle/140.119/36781-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description資訊管理研究所zh_TW
dc.description91356024zh_TW
dc.description92zh_TW
dc.description.abstract在全球化趨勢與Internet帶動速度競爭的影響下，現今的企業經常採取將旗下部門分散佈署於各地，或者和位於不同地區的公司進行合併結盟的策略，藉以提昇其競爭力與市場反應能力。由於地理位置分散的結果，這類企業當中通常存在著許多不同的資料倉儲系統；為了充分支援管理決策的需求，這些不同的資料倉儲當中的資料必須能夠進行交換與整合，因此需要有一套開放且獨立的資料交換標準，俾能經由Internet在不同的資料倉儲間交換多維度資料。然而目前所知的跨資料倉儲之資料交換解決方案多侷限於逐列資料轉換或是以純文字檔案格式進行資料轉移的方式，這些方式除缺乏效率外亦不夠系統化。在本篇研究中，將探討多維度資料交換的議題，並發展一個以XML為基礎的多維度資料交換模式。本研究並提出一個基於學名結構的方法，以此方法發展一套單一的標準交換格式，並促成分散各地的資料倉儲間形成多對多的系統化映對模式。以本研究所發展之多維度資料模式與XML資料模式間的轉換模式為基礎，並輔以本研究所提出之多維度中介資料管理功能，可形成在網路上通用且以XML為基礎的多維度資料交換過程，並能兼顧效率與品質。本研究並開發一套雛型系統，以XML為基礎來實作多維度資料交換，藉資證明此多維度資料交換模式之可行性，並顯示經由中介資料之輔助可促使多維度資料交換過程更加系統化且更富效率。zh_TW
dc.description.abstractMotivated by the globalization trend and Internet speed competition, enterprise nowadays often divides into many departments or organizations or even merges with other companies that located in different regions to bring up the competency and reaction ability. As a result, there are a number of data warehouse systems in a geographically-distributed enterprise. To meet the distributed decision-making requirements, the data in different data warehouses is addressed to enable data exchange and integration. Therefore, an open, vendor-independent, and efficient data exchange standard to transfer data between data warehouses over the Internet is an important issue. However, current solutions for cross-warehouse data exchange employ only approaches either based on records or transferring plain-text files, which are neither adequate nor efficient. In this research, issues on multidimensional data exchange are studied and an XML-based Multidimensional Data Exchange Model is developed. In addition, a generic-construct-based approach is proposed to enable many-to-many systematic mapping between distributed data warehouses, introducing a consistent and unique standard exchange format. Based on the transformation model we develop between multidimensional data model and XML data model, and enhanced by the multidimensional metadata management function proposed in this research, a general-purpose XML-based multidimensional data exchange process over web is facilitated efficiently and improved in quality. Moreover, we develop an XML-based prototype system to exchange multidimensional data, which shows that the proposed multidimensional data exchange model is feasible, and the multidimensional data exchange process is more systematic and efficient using metadata.en_US
dc.description.tableofcontentsTable of Contents\nCHAPTER 1 INTRODUCTION 1\n 1.1 Research Motivation 1\n 1.2 Research Issue 2\n 1.3 Research Objective 3\n 1.4 Research Flow 4\n 1.5 Organization of Thesis 4\nCHAPTER 2 LITERATURE REVIEW 6\n 2.1 Data Warehouse Systems 6\n 2.1.1 Data Warehouse Architecture 6\n 2.1.2 Data Warehouse and OLAP 8\n 2.1.3 Data Warehouse Research Issues 9\n 2.2 Multidimensional Data Modeling 10\n 2.2.1 Data Cube 11\n 2.2.2 Star Schema and Snowflake Schema 12\n 2.2.3 Multidimensional Data Modeling Open Issues 13\n 2.2.4 XML Standards for Multidimensional Data 15\n 2.2.5 XCube 19\n 2.3 Metadata Management for Data Warehousing 23\n 2.3.1 Classification of Data Warehouse Metadata 24\n 2.3.2 Metadata Repository Architecture 25\n 2.3.3 Metadata Interoperability and Integration 27\n 2.3.4 Metadata Standards for Data Warehousing 30\nCHAPTER 3 RESEARCH METHOD 33\n 3.1 Research Structure 33\n 3.2 Multidimensional Data Exchange Transformation Model 36\n 3.2.1 The XML-based Data Cube 36\n 3.2.2 Transformation Between Data Cube and XML-based Data Cube 38\n 3.3 Research Model 40\n 3.4 Components of Research Model 42\n 3.4.1 XML-based Metadata Management Module 43\n 3.4.2 XML-based Data Cube Export Module 47\n 3.4.3 XML-based Data Cube Import Module 57\n 3.4.4 Repositories 61\n 3.5 Summary 64\nCHAPTER 4 RESEARCH PROTOTYPE 65\n 4.1 Prototype System Architecture 65\n 4.2 Prototype System Platform 66\n 4.3 Prototype System Design 67\n 4.3.1 Export 68\n 4.3.2 Import 69\n 4.3.3 Maintain 70\n 4.4 A Simple Sample Data Set 70\n 4.5 Prototype System Presentation 72\n 4.5.1 Exporting XML-based Data Cube 72\n 4.5.2 Importing XML-based Data Cube 81\n 4.5.3 Maintenance 87\nCHAPTER 5 RESEARCH DISCUSSIONS 90\n 5.1 Research Implications 90\n 5.2 Research Limitations 93\nCHAPTER 6 CONCLUSIONS AND FUTURE RESEARCH DIRECTIONS 94\n 6.1 Concluding Remarks 94\n 6.2 Future Research Directions 96\nREFERENCES 98\n中文參考文獻 98\nEnglish References 98\nInternet References 103\nAPPENDIX A: XML DOCUMENT SPECIFICATION 105\n\nList of Figures\nFigure 1-1 Research Flow 5\nFigure 2-1 Typical Data Warehouse Architecture 7\nFigure 2-2 A “Sales” Data Cube Example 11\nFigure 2-3 A Star Schema 12\nFigure 2-4 A Snowflake Schema 13\nFigure 2-5 Hierarchical Structure of an XCubeSchema Document 21\nFigure 2-6 Hierarchical Structure of an XCubeDimension Document 21\nFigure 2-7 Hierarchical Structure of an XCubeFact Document 22\nFigure 2-8 Metadata Spreading in the Data Warehousing Environment 24\nFigure 2-9 Architectural Approach for Metadata Management 25\nFigure 2-10 Metadata Exchange through Metadata File Import/Export 28\nFigure 2-11 Metadata Exchange through Repository API 28\nFigure 2-12 Metadata Exchange through Metadata Wrapper 29\nFigure 2-13 Common Warehouse Metamodel (CWM) 31\nFigure 3-1 XML-based Multidimensional Data Exchange Research Structure 34\nFigure 3-2 Relationship between Data Cube and XML-based Data Cube Documents 37\nFigure 3-3 Bi-directional Transformation between Data Cube and XML-based Data Cube 38\nFigure 3-4 XML-based Multidimensional Data Exchange Research Structure in Detail 39\nFigure 3-5 Framework of Research Model 40\nFigure 3-6 Components of Modules in Research Model 43\nFigure 3-7 XML-based Metadata Management Module Design 45\nFigure 3-8 An Example of Multidimensional Metadata Model 46\nFigure 3-9 XML-based Data Cube Export Module Design 47\nFigure 3-10 A “Sales” Star Schema 48\nFigure 3-11 Dimension Hierarchies 49\nFigure 3-12 Transformation from Data Cube to XML-based Data Cube 50\nFigure 3-13 Relationship between Data Cube and XML-based Data Cube 53\nFigure 3-14 An Example of XML-based Data Cube Dimension Data Model 55\nFigure 3-15 An Example of XML-based Data Cube Fact Data Model 55\nFigure 3-16 XML-based Data Cube Import Module Design 57\nFigure 3-17 Transformation from XML-based Data Cube to Data Cube 60\nFigure 3-18 Repositories Design 62\nFigure 4-1 Prototype System Architecture 66\nFigure 4-2 Prototype System Design 68\nFigure 4-3 Star Schema of the “Insurance Policy” Data Cube 71\nFigure 4-4 Home Page of the Prototype System 72\nFigure 4-5 Operational Process of Functions in Export Module 73\nFigure 4-6 The Fact Table Selection Interface 73\nFigure 4-7 The Measure Definition Interface 74\nFigure 4-8 The Dimension Table Selection Interface 74\nFigure 4-9 The Level Definition Interface 75\nFigure 4-10 The Data Cube and Dimension Confirmation and Description Interface 76\nFigure 4-11 The Successful Transformation Interface (Export) 77\nFigure 4-12 The Successful Transformation Interface (Export) (Continued) 77\nFigure 4-13 The Structure of the XML-based Data Cube Schema Script File 78\nFigure 4-14 An Example of the XML-based Data Cube Schema Script File 79\nFigure 4-15 The Structure of the XML-based Data Cube Dimension Document 79\nFigure 4-16 The Structure of the XML-based Data Cube Fact File 80\nFigure 4-17 The Successful Export Interface 81\nFigure 4-18 Operational Process of Functions in Import Module 81\nFigure 4-19 The Latest XML-based Data Cube List Interface 82\nFigure 4-20 The Query-by-Criteria Interface 82\nFigure 4-21 The Details on XML-based Data Cube Interface 83\nFigure 4-22 The Successful Download Interface 84\nFigure 4-23 The Successful Transformation Interface (Import) 85\nFigure 4-24 The Successful Import Interface 85\nFigure 4-25 The OLAP Result of Exporters’ Data Cube 86\nFigure 4-26 The OLAP Result of Importers’ Data Cube 86\nFigure 4-27 Index Page of the Maintain Module 87\nFigure 4-28 The XML-based Data Cube Management Interface 88\nFigure 4-29 The XML-based Data Cube Generation/Exchange/Maintenance Log Interface 89\nFigure 4-30 The Template File Download Interface 89\n\nList of Tables\nTable 2-1 Typical OLAP Operations 8\nTable 2-2 Data Warehouse Lifecycle Steps, Potential Problems and Solutions (Partial) 10\nTable 2-3 One of the Open Issues on Multidimensional Modeling 14\nTable 2-4 Description of XML Schemas 16\nTable 2-5 Description of XML Related Techniques 16\nTable 2-6 Related Works on XML-based Multidimensional Metadata and Data Exchange 17\nTable 2-7 Overview of the XCube Family 20\nTable 2-8 XCubeSchema Blocks 20\nTable 2-9 XCubeDimension Blocks 22\nTable 2-10 XCubeFact Blocks 23\nTable 2-11 Classification of Data Warehouse Metadata 24\nTable 2-12 Comparison of the Metadata Repository Architectures 26\nTable 2-13 Comparison of the Metadata Exchange Methods 29\nTable 3-1 Open Issues in Related Works and Solution of This Research 35\nTable 3-2 Adoption and Extension from Related Work 35\nTable 3-3 XML-based Data Cube Documents Description 38\nTable 3-4 Requirements for Metadata Management 43\nTable 3-5 Comparison of Star/Snowflake Schema Constructs and XML Schema Constructs 51\nTable 3-6 Mapping of Star Schema and XML Schema 51\nTable 3-7 Mapping of Snowflake Schema and XML Schema 52\nTable 3-8 Mappings between Data Cube and XML-based Data Cube 53\nTable 3-9 Description of Metadata Manipulation Function 58\nTable 3-10 Relationship between Relational Tables and XML-based Data Cube Documents 60\nTable 4-1 Prototype System Platform 67zh_TW
dc.language.isoen_US-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0091356024en_US
dc.subject資料倉儲zh_TW
dc.subject多維度資料模式zh_TW
dc.subject資料方塊zh_TW
dc.subject中介資料zh_TW
dc.subject資料交換zh_TW
dc.subjectData Warehouseen_US
dc.subjectMultidimensional Data Modelen_US
dc.subjectData Cubeen_US
dc.subjectMetadataen_US
dc.subjectXMLen_US
dc.subjectData Exchangeen_US
dc.titleAn XML-based Multidimensional Data Exchange Studyzh_TW
dc.title以XML為基礎之多維度資料交換之研究zh_TW
dc.typethesisen
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