Automatic Ontology Creation for Research Paper Classification
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract: As a large number of research proposals are received at different journal or research institute, it is common to group them according to their similarities in research disciplines and the grouped proposals are then assigned to the appropriate experts for peer review. Grouping in Current scenario is done by manual matching of similar research discipline areas and/or keyword. This work implement Text-mining methods to solve the problem by automatically classifying text documents have pattern based ontology text-mining approach where one put paper and year of submission, then it make pattern, then cluster research proposals based on their similarities in research areas. It can be efficient and effective for clustering research proposals with English texts as most of research paper are in English language.
Authors and Affiliations
Ankita
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- EP ID EP95943
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