Devloping knowledge driven ontology for decision making

Decision-making activity is carried out in an every organization to solve the problems or to take the decisions. To make an effective decision, decision maker needs relevant and meaningful information. But to retrieve meaningful information from such a huge database, decision maker needs background knowledge about the domain. Practically for a decision maker having background knowledge about each and every domain is not possible. Due to this meaningful information remains hidden in the database itself. Decisions made out using such irrelevant and meaningless information leads to irreparable damage and harm to the reputation of organization. Hence to retrieve the meaningful and relevant information, background knowledge about the domain is necessary. To solve this problem, ontology is used as a source of domain knowledge. By using ontology, meaningful information is retrieved from the database to help in taking decision. In proposed system, ontology is used to represent the background knowledge about the domain. Use of ontology improves the relevancy and meaningfulness of the retrieved information. Such meaningful and relevant information is used to improve the effectiveness of decision making. Experimental analysis of the results shows that, results obtained by using proposed approach are more meaningful and relevant as compared to existing approach.