• pragya singh
• Archana Tandon
• Pushpendra Kumar

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 matchingof 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 text mining approach to cluster notonly research proposals but also external reviewers based on their research area and then assigning of concernedresearch 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.

Ontology; Text Mining; Classification; Research Project Proposal

"Project Proposals Clustering and Assignment to Reviewers Using TextMining Approach Based on Ontology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.80-84, June 2019, Available :http://www.jetir.org/papers/JETIR1906M09.pdf

"Project Proposals Clustering and Assignment to Reviewers Using TextMining Approach Based on Ontology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp80-84, June 2019, Available at : http://www.jetir.org/papers/JETIR1906M09.pdf