Classification and Allocation of Project Proposals to Reviewers Using Ontology Based Hybrid Mining Technique

Classification and Allocation of Project Proposals to Reviewers Using Ontology Based Hybrid Mining Technique
Author(s):
Ratish Srivastava, Prof. P.K. Deshmukh
Keywords:
Ontology, Hybrid Approach, Text Mining, Classification and Research Project Proposal
Abstract
As the field of research work is growing quickly and continuously, 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. The activities of finding similar pattern of text effectively and interactively and classifying them are 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 work 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.
Article Details
Unique Paper ID: 143288 Publication Volume & Issue: Volume 2, Issue 9 Page(s): 57 - 61
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