Manpower planning is complex and demanding task, because in establishing the factual insights of an enterprise, one is required to have the in-depth knowledge of forecasting manpower planning and practices, as well as the knowledge of macroeconomics of the particular business involved. Inconsistency information and lack of knowledge during decision-making process could generate to inaccurate decision. In addition, massive amount of information in unstructured forms need to be managed into a systematic manner. The aim of this research is to develop a generic ontology-based architecture for supporting manpower planning and proves the effectiveness of integrating information extraction from diverse source in supporting information for manpower forecasting. Ontology is built to capture and structure domain expert knowledge based on criteria and preferences for selecting manpower forecasting adjustment. Currently, the framework is under implementation as a research prototype.