In recent years, many people use the World Wide Web and Internet to find information that they want. HTML is a document markup language for publishing hypertext on the WWW. HTML has been the target format for content developers around the world. Basically, HTML tags serve the primary purpose of describing how to display a data item. Therefore, HTML documents are difficult to find some useful information. That is because, HTML documents are mixed content with display tags. On the other hand, XML is the another data format for data exchange inter-enterprise applications on the Internet. In order to facilitate data exchange, industry groups define public Document Type Definitions (DTD) that specify the format of the XML documents to be exchanged between their applications. Moreover, WWW/EDI or Electric Commerce is very popular and a lot of business data uses XML to exchange on the World Wide Web. Basically, XML tags describe the data itself. The contents (meaning) of the XML documents and the display format is separated. It could be easily to find meaningful information of the XML documents and analyze the information. Moreover, when a large volume of business data (XML documents) exists, we must transform the XML documents to the relational databases. In order to exchange business data between applications, we must construct the XML documents from the relational database. In this thesis, we design the mapping technique and present the implementation of mapping tools between XML documents and relational databases. XML document is fundamentally different from relational data. XML document are hierarchy, and elements of document should be nested and repeated more times (i.e., set-valued and recursion). Therefore, we can not map from the XML documents to the relational databases straightforwardly. Our mapping technique must resolve the above problems. We design and implement a mapping technique between the XML documents and the relational database such that those mapping can be done automatically for any kind of XML documents and any kind of commercial relational databases. The whole tools are implemented in Visual Basic and SQL Server 2000. From our experiences, we show that our efficient mapping technique can be applied to any kind of relational databases without any extra requirements or changes to the databases.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0718101-105738 |
| Date | 18 July 2001 |
| Creators | Lee, Chia-He |
| Contributors | San-Yih Hwang, Chien-I Lee, Ye-In Chang, Gen-Huey Chen |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718101-105738 |
| Rights | restricted, Copyright information available at source archive |
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