There are nowadays a number of tools and techniques to address the issue of ontology matching; nevertheless, the complexity of such a issue means that perhaps the current approaches are unsatisfying. This research aims to shed light on a much more robust way to match ontologies through meta-matching. In situations whereby correct ontology alignment is needed, this evolving strategy chooses suitable parameters and their corresponding weight and levels. We assume that a summary of the issue and a review of existing state-of - the-art approaches can assist scientists and professionals recognize the particular features and worldwide techniques that are most suitable.
