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2019 | OriginalPaper | Buchkapitel

Citation Content Analysis and a Digital Library

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Abstract

This paper presents an approach of two-way data exchange between the citation content analysis, provided by the Cirtec project, and the big research digital library Socionet. Many papers in Socionet have citation relationships with other papers and also linkages with authors’ personal profiles and through them with other information objects. It allows making an enrichment of data for the citation content analysis by different additional information and, as well, linking results of such analysis with objects in a digital library, like papers, their authors, affiliation organizations, etc. We discuss what numeric and qualitative indicators can be built by citation content analysis based on the Cirtec open citation data. Since these indicators have IDs related with digital library objects, they can be integrated and visualized as computer-generated annotations to papers’ full texts in PDF.

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Fußnoten
5
In [14] we listed types of in-text citations that were processed.
 
10
Victor Lyapunov made needed software and calculations for these experiments.
 
12
Thomas Krichel and Roman Puzyrev made needed software and calculations.
 
13
Aleksandr Tuzovsky and Amir Bakarov made needed software and calculations.
 
Literatur
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Metadaten
Titel
Citation Content Analysis and a Digital Library
verfasst von
Sergey Parinov
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-23584-0_12