Irada Alakbarova

Work place: Ministry of Science and Education of Azerbaijan, Institute of Information Technologies, Baku, Azerbaijan



Research Interests: Data Analysis, Text Analysis


Irada Yavar Alakbarova in 1984 she graduated from the Faculty of Automation of production processes, Azerbaijan Institute of Oil and Chemistry named after M. Azizbayov. In the same year, she was accepted for employment at the Institute of Information Technology. In currently holds the post of Sector Chief of the Institute of Information Technology. In 2018, the defense of the dissertation on the “Development of methods and algorithms for analysis of information war technologies in a wiki environment” and she received his Ph.D. (2018). In currently conducts research in the field of Social Network Analysis, Text Analysis, Clustering, Social Credit Analysis, and Big Data Analytics. She is the author of 48 articles and three books.

Author Articles
A New Approach to Improving Search Efficiency in Digital Libraries

By Irada Alakbarova Dilbar Alizada

DOI:, Pub. Date: 8 Apr. 2024

The development of Internet technologies influences the activities of libraries and changes their nature. The volume of content collected in digital libraries is growing rapidly. This requires the use of new technologies to search and obtain electronic materials (text, video, images, sound files) stored in the e-library. Today, using the new capabilities of network technologies and intelligent systems, the proper organization of the digital library, and increasing the efficiency of library services are the main factors leading to an increase in the number of readers and their satisfaction. The main objectives of digital libraries are to ensure efficient retrieval of electronic resources and collaboration between users. While researching various scientific articles on library and information sciences (LIS), we did not encounter approaches using cluster analysis in combination with wiki technologies. To collaborate users in digital libraries and their involvement in organizing electronic resources, we propose using an open database managed by wiki technologies. To effectively search for electronic resources in these open databases, it is proposed to use the clear clustering method. The clear clustering method also allows you to control the quality of clustering. The proposed method is important when creating intelligent (smart) libraries that are easy to manage and automate certain tasks. The research aims to create not just a smart library, but a smart library based on wiki technologies.

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