Ontology-Based Academic Article Recommendation

Abstract

The qualitative analysis of scientific production in the tome of scientific literature is based on the article recommendation to peer reviewers by the venues (journal, conferences), which is usually done by editor of any venue. The better classification of an article depends upon the ontologies or concepts presented in it. It has been observed that venues provide a very abstract classification of the topic which can't be topic-specific classification. In this write-up, we have proposed ontology-based category classification of an article which is not only extracted through the particular article but also from the cited articles which can give us more insight into the topic-specific categorization and also give us the homogeneity of ontologies of the cited article with reference to any particular article. Simulation has been done over the data set from the web of science. For the better understanding and its implication, we narrow our data set to just computer science subject.