Evolutionary learning of Ontology Merging Algorithms

Ontology merging is an activity of merging two or more source ontology’s to get single coherent ontology for extended knowledge. Literature suggests that in past, several ontology merging algorithms have been proposed by researchers for semantic information retrieval. The key idea associated with all those algorithms was how to merge ontology’s semantically which gives the best possible results for intelligent information retrieval. In this paper a review study of existing merging algorithms for ontology is presented with the association to solve domain specific problems. Quality metrics and various key factors for selection of best ontology merging algorithm is also discussed which will help to create new approaches for ontology merging by removing existing problems in available merging algorithms.