XMap++: A novel semantic approach for alignment of OWL-Full ontologies based on semantic relationship using WordNet

Automatic correspondence generation between two ontologies, is of great difficulty due, on one hand, to conceptual and habit differences between ontology development communities. On the other hand, alignment difficulties grew exponentially with the number and volume of the involved data. This work presents a proposition of an alignment algorithm XMap++; where the approach originality consists in taking into account the context of the alignment in order to overcome the problem of large size ontologies containing similar classes as well as a semantic similarity measure based on Wordnet. The weighted, sum in addition to the sigmoid function, which has to be shifted according to the weight of the linguistic affinity and to fit our input range of [0 to 1] is also used. Finally, the proposed algorithm is implemented as a Protege plug-in, and tested on a series of certified test units. A comparison in terms of results is also made with OLA (OWL lite Alignment) in terms of precision and fallout.