Data

Due to intensive growth of the electronically available publications, bibliographic databases have become widespread. They cover a large variety of knowledge fields and provide a fast access to the wide variety of data. At the same time they contain a wealth of hidden knowledge that requires steps of extra processing in order to infer it. In this work we focus on extraction of such meta knowledge from the research bibliographic databases by looking at them from sociolinguistic, text mining and bibliometric perspectives.

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