Ontological-based model for human resource decision support system (HRDSS)

Authors:
Rohayati Ramli;Shahrul Azman Noah;Maryati Mohd Yusof
Affiliations:
Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Venue:
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
Year:
2010

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Abstract

This research concerns the development of Ontology-based model as an input to Human Resource Decision Support System (HRDSS) and to assist in the efficient and effective data analysis and leveraging the semantic content of ontology. These are to give intelligence support in decision-making and to proposed and develop suitable system architecture of the intelligence DSS model for the Human resource planning at national level. The initial model was developed based on the literature review on issues related to Human resource planning complex unstructured decision making process. We have been working on ontology to manage knowledge in human resource and integrate multiple data resources in order to support decision making in forecasting and projection for supply and demand in Human Resource Development.