Research Paper Selection Based On an Ontology and Text MiningTechnique Using Clustering
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: Research Paper Selection is important decision making task for the Government funding Agency,Universities, research Institutes. Ontology is Knowledge Repository in which concepts and terms defined as wellas relationship between these concepts. In this paper Ontology is old research papers repository of keywordsand frequencies of that keywords of the research papers of funding agencies. Ontology makes the tasks ofsearching similar patterns of text that is to be more effective, efficient and interactive. The current method ofgrouping of papers for research paper selection based on similarities of Keywords and Frequencies of researchpapers of ontology. Text mining is method for extracting unknown information from the large documents. TheResearch Papers in each domain are clustered using Text mining Technique. Grouped Research papers areassigned to appropriate reviewer or domain experts for peer review systematically. The Reviewer results are collected and papers are get ranked based on experts review results.
Authors and Affiliations
Snehal Shivaji Patil , S. A. Uddin
Keywords
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