An Ontology Based Text Mining

Kuwar Aditya; Bhalekar Arjun; Bade Ankush

doi:https://doi.org/10.14445/22315381/IJETT-V10P257

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Volume 10 | Number 2 | Year 2014 | Article Id. IJETT-V10P257 | DOI : https://doi.org/10.14445/22315381/IJETT-V10P257

An Ontology Based Text Mining

Kuwar Aditya , Bhalekar Arjun , Bade Ankush

Citation :

Kuwar Aditya , Bhalekar Arjun , Bade Ankush, "An Ontology Based Text Mining," International Journal of Engineering Trends and Technology (IJETT), vol. 10, no. 2, pp. 292-296, 2014. Crossref, https://doi.org/10.14445/22315381/IJETT-V10P257

Abstract

Research project selection is important task for government and private research agencies. When a large number Of research proposals are received, it is common to group them according to their similarities in research discipline areas. The grouped proposals are then assigned to the appropriate experts for peer review. Current methods for grouping proposals are based on manual matching of similar research discipline areas or keywords. However, the exact research discipline areas of the proposals cannot be determined accurately by the applicants due to their subjective views and possible misinterpretations. Therefore, rich information in the proposals’ full text can be used effectively. Text mining methods have been proposed to solve problem by automatically classifying text documents. This paper presents an ontology based text mining approach to cluster research proposals effectively based on their similarities in research discipline areas. This method can be used to improve the efficiency and effectiveness of research proposal selection processes in government and private research agencies.

Keywords

Ontology, research project selection, text mining, clustering

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