scholarly journals Efficient storage and query processing of XML data in relational database systems

2005 ◽  
Author(s):  
Prakash Sandeep
Author(s):  
Ibrahim Dweib ◽  
Joan Lu

In this chapter, the authors characterize a new model for mapping XML documents into relational database. The model examines the problem of solving the structural hole between ordered hierarchical XML and unordered tabular relational database to enable use of the relational database systems for storing, updating, and querying XML data. The authors introduce and implement a mapping system called MAXDOR to solve the problem.


Author(s):  
Mary Ann Malloy ◽  
Irena Mlynkova

As XML technologies have become a standard for data representation, it is inevitable to propose and implement efficient techniques for managing XML data. A natural alternative is to exploit tools and functions offered by relational database systems. Unfortunately, this approach has many detractors, especially due to inefficiency caused by structural differences between XML data and relations. But, on the other hand, relational databases represent a mature, verified and reliable technology for managing any kind of data including XML documents. In this chapter, the authors provide an overview and classification of existing approaches to XML data management in relational databases. They view the problem from both state-of-the-practice and state-of-the-art perspectives. The authors describe the current best known solutions, their advantages and disadvantages. Finally, they discuss some open issues and their possible solutions.


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