Abstract
Both the internet and the intranets contain more resources and they are called as text documents. Research and Development (R&D) scheme selection is a type of decision-making normally present in government support agencies, universities, research institutes and technology intensive companies. Text Mining has come out as an authoritative technique for extracting the unknown information from large text document. Ontology is defined as a knowledge storehouse in which concepts and conditions are defined in addition to relationships between these concepts. Ontology's build the task of searching alike pattern of text that to be more effectual, efficient and interactive. The present method for combine proposals for selection of research project is proposed by ontology based text mining technique to the data mining approach of cluster research proposals support on their likeness in research area. This proposed method is efficient and effective for clustering research proposals. Though the research proposal regarding particular research area is cannot always be accurate. This study proposed an ontology based text mining to group research proposals, external reviewers based on their research area. The proposed method like Efficient Expectation-Maximization algorithm (EEM) is used to cluster the research proposal and gives better results in more efficient way.
Highlights
At present document clustering is a most active area of research and the development
Research and development (R&D) project selection is an organizational decision-making task commonly found in organizations like government funding agencies, universities, research institutes and technology-intensive companies
In the field of ontology, ontological framework is normally formed using manual or semi-automated methods requiring the expertise of developers and specialists
Summary
At present document clustering is a most active area of research and the development. Research and development (R&D) project selection is an organizational decision-making task commonly found in organizations like government funding agencies, universities, research institutes and technology-intensive companies. It is a complicated and challenging task to organizations with the following reasons:. Ontology is a knowledge Repository which defines the terms and concepts and represents the relationship between the various concepts. In the field of ontology, ontological framework is normally formed using manual or semi-automated methods requiring the expertise of developers and specialists This is highly incompatible with the developments of World Wide Web as well as the new E-technology because it restricts the process of knowledge sharing. The semantic meaning of many discovered terms is uncertain for answering what users want
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