Semantic classification of the citations

Abstract

In this study the semantic classification of the references/citations of a scientific article according to position within the article is investigated. For this purpose, the article is divided into two major sections: the Introduction/Background section and the rest section which contains the methodology, experimental part, results and conclusion parts. Additionally, the references of an article are divided into two categories: the Self-References and the Citations which are used for the semantic interpretation of the references in combination with the aforementioned geographic partition. For achievement of this, an algorithm was constructed which was implemented using Java programming language and was applied in a numerous articles of open springer journals. Finally, the classification results as well as the interpretation of these should create a new consideration about the contribution of each reference in the knowledge creation specifically in the self-citation case.