Enriching existing ontology using semi-automated method

Abstract

Ontology is a kind of philosophical study which is dealing with nature being. Ontologies are extremely useful tools for different purpose and various modalities in different areas and communities. A common ontology is very effective in sophisticated software engineering purpose. In realistic world new meaningful words are always improving a language and to enhance the most widely used ontologies it requires mapping. To assure the quality manual mapping is used with some limitation. Partial automated mapping may apply to extend ontology by extracting and integrating knowledge from existing resources more effectively. In this paper, we present a semi-automated method, type of machine learning to enrich an existing ontology. Moreover, the approach can save time and ensure the accuracy that they need to serve.