Skip to main content
Log in

Semantic linkages in research information systems as a new data source for scientometric studies

Scientometrics Aims and scope Submit manuscript

Abstract

A growing number of research information systems use a semantic linkage technique to represent in explicit mode information about relationships between elements of its content. This practice is coming nowadays to a maturity when already existed data on semantically linked research objects and expressed by this scientific relationships can be recognized as a new data source for scientometric studies. Recent activities to provide scientists with tools for expressing in a form of semantic linkages their knowledge, hypotheses and opinions about relationships between available information objects also support this trend. The study presents one of such activities performed within the Socionet research information system with a special focus on (a) taxonomy of scientific relationships, which can exist between research objects, especially between research outputs; and (b) a semantic segment of a research e-infrastructure that includes a semantic interoperability support, a monitoring of changes in linkages and linked objects, notifications and a new model of scientific communication, and at last—scientometric indicators built by processing of semantic linkages data. Based on knowledge what is a semantic linkage data and how it is stored in a research information system we propose an abstract computing model of a new data source. This model helps with better understanding what new indicators can be designed for scientometric studies. Using current semantic linkages data collected in Socionet we present some statistical experiments, including examples of indicators based on two data sets: (a) what objects are linked and (b) what scientific relationships (semantics) are expressed by the linkages.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. http://www.w3.org/wiki/SweoIG/TaskForces/CommunityProjects/LinkingOpenData.

  2. http://www.w3.org/community/openannotation/.

  3. http://www.w3.org/TR/2004/REC-rdf-mt-20040210/.

  4. http://www.openannotation.org/.

  5. http://www.eurocris.org/.

  6. http://casrai.org/.

  7. http://code.google.com/p/annotation-ontology/.

References

Download references

Acknowledgments

We are grateful to Keith Jeffery and anonym reviewers for useful comments. The paper presents some results of a research project “A technology of decentralized interactive semantic structuring of digital libraries contents” funded by Russian Foundation for Basic Research, grant 12-07-00518-A.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sergey Parinov.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Parinov, S., Kogalovsky, M. Semantic linkages in research information systems as a new data source for scientometric studies. Scientometrics 98, 927–943 (2014). https://doi.org/10.1007/s11192-013-1108-3

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-013-1108-3

Keywords

JEL Classification

Navigation