Linking translated articles using authorship statistics

Авторы: Kozitsyn A.S., Afonin S.A., Zenzinov A.A.
Сборник: 20th Conference Scientific Services and Internet, SSI 2018
Серия: CEUR Workshop Proceedings (CEUR-WS.org)
Том: 2260
Год издания: 2018
Место издания: CEUR-WS CEUR Workshop Proceedings, Vol-2260, http://ceur-ws.org
Первая страница: 306
Последняя страница: 312
Аннотация: During the last decades scientometric techniques have been used for research activity stimulation. Number of published articles and number of their citation counts are among the most important scientometric parameters. In an automated environment, when the publications metadata is gathered from various sources, correct linking of original papers with their translations into different languages is extremely important. In the paper we show that the known text similarity measures are inefficient in the context of article linkage problem. We propose a method for semi-automatic article linkage using statistical data on authors publication activities only. This approach may be used for linking articles without training for the language of translation. The method was evaluated on real-world collection of publications metadata of ISTINA information system.
Добавил в систему: Зензинов Андрей Александрович

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