Automatic Indexing for Research Papers Using References

An effective way to reveal the contents of research papers is assigning a group of terms against a controlled vocabulary. To the best of our knowledge, a variety of automatic indexing techniques have been studied to enhance the effectiveness and the efficiency. However, the current approaches depended on the content of a research paper, such as title, abstract, etc., which suffering from limitations on the automatic indexing performance. In this paper, we propose a new approach of automatic indexing for single research paper with its references based on Genetic Algorithm (GA). The extensive experiments on four subjects show the effectiveness of the proposed approach.