Author : Ratish Srivastava and A.B.Bagwan

With the continuous and quick development in the field of research work, research and development project selection is a necessary and important task for the research funding agencies, colleges and universities, research institutes, and technology intensive companies. Ontology is a repository of knowledge in which ideas and articles are defined and also the relationships between these ideas. The activities of finding similar pattern of text effectively, efficiently, and interactively is made by ontology. The task of ontology based text extraction for research project selection includes grouping of research project proposals that have been received according to their similarities in respective research area. Current methods for grouping proposals are mainly based on matching of similar keywords and research discipline areas, but in most of the cases they cannot extract the exact research discipline areas accurately. This proposal presents an ontology based hybrid text mining approach to cluster not only research proposals but also external reviewers based on their research area and then assigning of concerned research project proposals to reviewers systematically. This proposed work can provide an efficient and effective way for the clustering of research project proposals and their assignment to respective reviewer.

Keywords: Ontology, Text Mining, Hybrid Approach, Classification and Research Project Proposal.

Article published in International Journal of Current Engineering and Technology, Vol.5, No.4 (Aug-2015)