文章基本信息

标题：Review of Classification of project proposal through Ontology Text Mining
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作者：Sunil Datir ; Megha singh
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：3
页码：3129-3134
出版社：TechScience Publications
摘要：Research Paper Selection is important decision preparing task for the Government funding Agency, research Institutes. Ontology is Knowledge Repository in which concepts and terms defined as well as relationship between these concepts. In this paper Ontology is old research papers repository of keywords and frequencies of that keywords of the research papers of funding agencies. Ontology makes the tasks of searching similar patterns of text that is to be more effective, efficient and interactive. The current system of grouping of papers for research paper selection based on similarities of Keywords and Frequencies of research papers of ontology. Text mining is the extraction of useful, often previously unknown information from large document. The Research Papers in each domain are clustered using Text mining Technique. Grouped Research papers are allocated to appropriate reviewer or domain experts for peer review systematically. The Reviewer results are collected and papers are get graded based on experts review results.
关键词：Document preprocessing; Clustering analysis;decision support systems; ontology; classification; research;project selection; text mining.