ONTEM: Extraction based Alignment Method for Large Ontologies.

 The rise of the semantic web and the development of different technologies allow different actors to access knowledge found in different ontologies. This is not always obvious because technical constraints such as data volume and execution time are determining factors in the choice of an alignment algorithm. Among the solutions for scaling, the extraction of ontological entities as well as for partitioning methods can be complementary to alignment techniques, given the reduction in the size of the ontologies to be aligned, and therefore the reduction in execution time. In this article, we propose a new alignment method based on the extraction of concepts and labels as well as the creation of correspondences in an automatic way. Indeed, we emphasize that this method does not require any calculation of similarity distance. The obtained results during the evaluation of our method show its effectiveness and can be a decisive turning point for the different existing alignment methods.