Algorithm for Resolving the Ambiguity of Author Names in IAS ISTINA
Abstract
An important task for scientometric data collection and processing systems is to identify authors of publications based on bibliographic data. This task is an important citation analysis system for publications. Information in such systems is automatically collected from various sources. It is necessary to automatically process the collected bibliographic data. Such a task is important for scientometric systems that analyze numerous types of scientific products (publications, dissertations, patents, lectures, etc.) too. The accuracy of the author's definition affects the quality of the results of scientometric assessment of the scientific activity of subjects. In addition, the accuracy of determining the author is important for protecting systems that use modern models of logical access control.
The article describes an algorithm developed to solve this problem, which is currently used in the scientometric system IAS ISTINA. This system has been used since 2012 to collect data on scientific activities at Moscow State University. M.V. Lomonosov. The system processes data on scientific publications, pedagogical activity, research, dissertations, participation in various councils, obtaining scientific awards and many other indicators. Currently, IAS ISTINA is used in more than twenty organizations.
The main feature of this algorithm is the use of a co-authorship graph to identify the author. It is built for publications and other results of scientific activity. In this article id described the structure of the bibliographic data analysis module, which is implemented in the IAS ISTINA system, and the algorithm for identifying authors based on bibliographic data of the publication. The results of testing of the algorithm are presented at the end of the article. It demonstrates the high accuracy of algorithm operation.
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