  Ontologies usually suffer from the semantic heterogeneity when simultaneously
used in information sharing, merging, integrating and querying processes.
Therefore, the similarity identification between ontologies being used becomes
a mandatory task for all these processes to handle the problem of semantic
heterogeneity. In this paper, we propose an efficient technique for similarity
measurement between two ontologies. The proposed technique identifies all
candidate pairs of similar concepts without omitting any similar pair. The
proposed technique can be used in different types of operations on ontologies
such as merging, mapping and aligning. By analyzing its results a reasonable
improvement in terms of completeness, correctness and overall quality of the
results has been found.

Artificial Intelligence