Semantic Ontology Mapping using Support Vector Machine

The semantic web is an extension of the world wide web which enables machines to analyze and respond to complex human requests based on their meaning.The retrieval of the relevant information in the web is done by making the system to understand without any human intervention. Ontology represents a knowledge which is domain specific. It includes concepts and the relationship that naturally exist between the concepts.In various organization, they use different ontologies for the same domain which results in the problem of interoperability.Ontology mapping provides solution for the problem of combining heterogeneous and distributed data sources which is the process of determining the semantic relationship between the concepts used in different ontologies. Mapping is done to find the similarity and difference between the pair of concepts which is automated by machine learning algorithm.In this paper, SVM, a machine learning algorithm is used to perform classification.