Abstract
As XML has become a standard for data representation, it is inevitable to propose and implement techniques for efficient managing of XML documents. A natural alternative is to exploit features and functions of (object-)relational database management systems, i.e. to rely on their long theoretical and practical history.
The main concern of such techniques is the choice of an appropriate XML-to-relational mapping strategy. In this thesis we focus on further enhancing of current most efficient XML-to-relational storage strategies - so-called adaptive methods. Firstly, we perform a detailed analysis of existing works and especially remaining open issues.
Secondly, we propose their enhancing which can be characterized as a hybrid user-driven adaptive mapping strategy, i.e. a combination of so-called user-driven and adaptive methods. In the enhancing we focus especially on deeper exploitation of user-given information, i.e. schema annotations, and we propose an approach which enables to identify new annota