A NOVEL TECHNIQUE FOR RESEARCH PROPOSAL CLASSIFICATION

Abstract

Research paper selection is a crucial decision-making activity for government funding agencies and research institutes. Ontology is a knowledge repository that defines ideas, terminology, and the relationships between them. In this study, Ontology is a collection of previous research papers including keywords and their frequency in funding agency research papers. Ontology improves the effectiveness, efficiency, and interactivity of activities involving searching for comparable text patterns. The present work grouping algorithm for research paper selection is based on keyword similarities and ontology research paper frequencies. Text mining is the process of extracting relevant, and sometimes previously undiscovered, information from huge documents. The Research Papers in each domain are grouped using text mining techniques. Grouped research papers are systematically assigned to the relevant reviewer or subject matter experts for peer assessment. Reviewer results are gathered, and publications are evaluated according to the findings of expert reviews.