In this paper, we introduce a new approach for aligning OWL-Lite ontologies. The main originality of the alignment method stands in the fact that it palliates the main drawbacks appearing in the literature approaches, i.e., problem of user-parameter settings. Carried out experimental results pointed out a sharp improvement in the precision and recall evaluation metrics.
['Sami Zghal', 'Engelbert Mephu Nguifo', 'Karim Kamoun', 'S. Ben Yahia', 'Yahya Slimani']
A new alignment method for OWL-Lite ontologies using propagation of similarity over the graph