Abstract
In spite of a large number of accessible conference or online research papers conducted by various researchers, their URL structures lack content-related information. This has made the search of studies in a certain field difficult. Note that a webpage URL is not merely an address to reach the content in Internet. The importance of information in a URL structure becomes more apparent when the optimal URL structure design and the use of keywords in URL are emphasized in search engine optimization. In this study, a mode is offered to optimize the URL structure of webpage journals. The related URL becomes more readable by determining the journal titles and inserting this title in the URL related to the pages containing abstracts. Therefore, researchers can easily find the articles. The proposed model was tested on 1300 articles in 160 journals including Elsevier, Springer, IEEE, and Willie’s Online Library using artificial intelligence. The results are acceptable using F-measure evaluation criteria.
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