Matching and integration of data about Russian research organizations from multilingual data sources
Abstract:
Information about research organizations is an important attribute that enables identifying authors of scientific publications, as well as analyzing the geographical distribution of publications and assessing the impact on the citation of publications associated with a geographic factor. Unfortunately, information on national research-related organizations is often incomplete or distorted in international databases. This applies, in particular, to Russian research organizations represented in English-language databases. The paper presents experiments on data matching and integration about Russian research organizations in multilingual data sources. Data sources such as GRID, Wikipedia, Wikidata and eLIBRARY.ru are considered.
