A New Approach for Labelling XML Data

Extensible Markup Language (XML) has become a key technique for transferring data through the internet. Updating and retrieving a large amount of XML data is a very active research field. The XML labelling schemes play an important role in handling XML data efficiently and robustly. Thus, many labelling schemes have been proposed. Nevertheless, these labelling schemes have limitations. Therefore, in this paper, a new method for labelling XML documents is developed. In addition, this approach used the idea of clustering-based XML data and dividing the nodes of an XML document into groups and labelling them accordingly. Two existing labelling schemes were chosen to label the clusters and their nodes as well. The level-based labelling scheme (LLS) and Dewey labelling scheme were used to label the nodes and clusters. The data model of this scheme has been developed. The mechanism of the proposed scheme also has been developed. Finally, this proposed scheme and the other two labelling schemes that used to build the proposed scheme have been implemented.