This paper proposes a novel approach to detecting semantic duplicates in an ontology that was integrated from many other ontologies. The proposed approach is based on using: (1) a query log that was issued against the ontology; and (2) the Apriori and FP algorithms from market basket analysis, where sales transactions are viewed as queries and items in a sales transaction are viewed as search terms in a query. To prove the viability of the proposed approach, the paper also presents the results of four experiments that were conducted on the OntoLife ontology.
Using Market Basket Analysis to Find Semantic Duplicates in Ontology