Document Type : Original Article
The volume of scientific documents and articles has increased dramatically in the last decade. It makes too difficult to find the relevant documents based on the user’s query. Information retrieval systems help researchers to find relevant scientific articles. One of the capabilities that help researchers to find the relevant papers is the feature of finding related scientific articles to an article. In other words, this feature allows to the researcher to view other related articles by selecting one article.
The purpose of this research is to present a method based on the analysis of bibliographic references to identify related scientific articles in digital libraries. The statistical population of this research is the articles published in the last 5 years in Persian and English publications indexed in the ISC in the field of computer science. The proposed method is able to find the articles that are most similar to the given article by analyzing the references of the articles and ranking them based on their similarity. To do that, after extracting the title and obtaining the similarity between the existing references among the articles, those articles that have the most similarity are identified and sorted based on their similarity. The proposed method has been compared with other methods, and the obtained results on both Persian and English data are promising.