Flexible queries in XML native databases
This work addresses the need for more effective querying systems in XML databases, which is incremental as it builds on existing FCA methods by introducing fuzzy extensions.
The paper tackled the problem of flexible querying in XML native databases by proposing a new modeling approach based on fuzzy Formal Concept Analysis (FCA), which leverages lattice structures to interpret concepts as query-response pairs, aiming to improve efficiency in information retrieval for semi-structured data.
To date, most of the XML native databases (DB) flexible querying systems are based on exploiting the tree structure of their semi structured data (SSD). However, it becomes important to test the efficiency of Formal Concept Analysis (FCA) formalism for this type of data since it has been proved a great performance in the field of information retrieval (IR). So, the IR in XML databases based on FCA is mainly based on the use of the lattice structure. Each concept of this lattice can be interpreted as a pair (response, query). In this work, we provide a new flexible modeling of XML DB based on fuzzy FCA as a first step towards flexible querying of SSD.