XML is the standard format for data exchange between inter-enterprise applications on the Internet. To facilitate data exchange, industry groups define public document type that specify the format of the XML data to b...XML is the standard format for data exchange between inter-enterprise applications on the Internet. To facilitate data exchange, industry groups define public document type that specify the format of the XML data to be exchanged between their applications. In this paper, we propose a new method to solve the problem of automating the conversion of relational data into XML. During the conversion, we considers not only the structure of relational schemas, but also semantic constraints such as inclusion dependencies during the translation--it takes as input a relational schema where multiple tables are interconnected through inclusion dependencies and converts it into an X-Schema. Finally, in order to validate our proposal, we present experimental results using real schemas.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
基金the Liaoning Province Education Department Funding Project (2008D028)
文摘XML is the standard format for data exchange between inter-enterprise applications on the Internet. To facilitate data exchange, industry groups define public document type that specify the format of the XML data to be exchanged between their applications. In this paper, we propose a new method to solve the problem of automating the conversion of relational data into XML. During the conversion, we considers not only the structure of relational schemas, but also semantic constraints such as inclusion dependencies during the translation--it takes as input a relational schema where multiple tables are interconnected through inclusion dependencies and converts it into an X-Schema. Finally, in order to validate our proposal, we present experimental results using real schemas.
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.
