Organizational knowledge can be treated as a valuable strategic asset. Organizations are lacking well-developed strategic models today that can aidin connectingknowledge-oriented technology and organizationaltypesto business strategy. The integration of BI (Business Intelligence) with ontology is observedas a potential method to formulate the strategy and helps in filling the gap in executing the strategy. It has been seen as a potential solution to business decision-makers as an efficientway to increase enterprise "soft power" and add value to the revolution and reconstruction of conventionalbusiness systems for achieving long-term profitability in a sustainable business environment. About 85% of DW projects in the US have failed to meet the intended business objectives (CGI white paper, 2004) with the traditional approach of building data warehousing and data mining approaches. So this paper has attempted to propose a hybrid approach for building Ontology-based Integration of Business Intelligence to achieve semantic interoperability by integrating DWH, OLAP, DM, and Ontology and Semantic Engineering technologies for achieving Semantic capability in Business Intelligence Services.