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This work can be improved with complete automation in building the domain Ontology, and exploring various methods for visualizing the results, which enables the users to get more information. In this study, individuals, siblings, and concepts are the only items considered for Ontology learning. It can be further extended and modeled as “sentiment domain dictionary” with the set of positive and negative words.

However, the work can be extended to map relationship between concepts, in addition to the existing terms. It can be done by the development of multi-agent system for integration of different domain Ontology using their properties. This in turn helps to develop expert systems solution or decision support system for any decision-making problem.