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An Ontological Technique to Group Research Projects

T. Sahila, R. Parvadha Devi

Abstract


Identifying the discipline to which a Project belongs is an important criterion for grouping of Research projects. This can be achieved by the usage of ontology based text mining method. An ontological structure is constructed for classifying into various departments. The keywords used in the Project are compared to the tree structure. Text mining techniques are used to intelligently and automatically extract implicit and potentially useful knowledge from the documents. Clustering is ensured by means of mapping algorithms. Existing methods used in classification are manual matching of key terms and the usage of text mining methods. Hence an ontological text mining method with unsupervised learning is proposed, which matches the index terms and the project title to group the projects in their respective disciplines.

Keywords


Clustering, Ontological Structure, Research Projects, Text Mining, Unsupervised

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References


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