This paper focuses on exporting relational data into extensible markup language (XML). First, the characteristics of both relational schemas represented by E-R diagrams and XML document type definitions (DTDs) are an...This paper focuses on exporting relational data into extensible markup language (XML). First, the characteristics of both relational schemas represented by E-R diagrams and XML document type definitions (DTDs) are analyzed. Secondly, the corresponding mapping rules are proposed. At last an algorithm based on edge tables is presented. There are two key points in the algorithm. One is that the edge table is used to store the information of the relational dictionary, and this brings about the efficiency of the algorithm. The other is that structural information can be obtained from the resulting DTDs and other applications can optimize their query processes using the structural information.展开更多
It is one of feasible ways to use the fully-developed database management system to manage the XML data. How to generate the corresponding relational schema is a key problem to reach that target. Here described is an ...It is one of feasible ways to use the fully-developed database management system to manage the XML data. How to generate the corresponding relational schema is a key problem to reach that target. Here described is an approach to generate the relational schema according to the structure of DTD and the analysis of user query for XML data. In the view of the drawbacks of approach put forward by Jauavel Shanmugasundaram,this approach takes both the storage cost and query cost into considera-tion.展开更多
The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type descriptio...The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.展开更多
文摘This paper focuses on exporting relational data into extensible markup language (XML). First, the characteristics of both relational schemas represented by E-R diagrams and XML document type definitions (DTDs) are analyzed. Secondly, the corresponding mapping rules are proposed. At last an algorithm based on edge tables is presented. There are two key points in the algorithm. One is that the edge table is used to store the information of the relational dictionary, and this brings about the efficiency of the algorithm. The other is that structural information can be obtained from the resulting DTDs and other applications can optimize their query processes using the structural information.
文摘It is one of feasible ways to use the fully-developed database management system to manage the XML data. How to generate the corresponding relational schema is a key problem to reach that target. Here described is an approach to generate the relational schema according to the structure of DTD and the analysis of user query for XML data. In the view of the drawbacks of approach put forward by Jauavel Shanmugasundaram,this approach takes both the storage cost and query cost into considera-tion.
文摘The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.
