doi: 10.4304/jsw.9.11.2823-2829
Automatic Indexing for Research Papers Using References
Abstract—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.
Index Terms—information retrieval, automatic indexing, research paper, genetic algorithm
Cite: Wei Liu, "Automatic Indexing for Research Papers Using References," Journal of Software vol. 9, no. 11, pp. 2823-2829, 2014.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
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