Special Issue Article Open Access

Ontology Based Mining Techniques for Systematic Allocation of Project Proposals to External Reviewers

Abstract

Research project proposals selection is an important and challenging task in organization, when large numbers of research proposals are collected. The common task is to group research proposal based on their similarity in disciplined area and research area. Current methods for grouping proposals are based on manual matching of similar research discipline areas. This paper, Ontology-based Classification and Clustering is presented to classify Research Project Proposals as well as External Research Reviewers and then group them based on their research discipline areas. Grouped proposals are assigned to experts group for peer review in a systematic way. This approach is used to improve the efficiency and effectiveness of research project selection processes in government and private research funding agencies.

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