Scholarly Communication in a Semantically Enrichable Research Information System with Embedded Taxonomy of Scientific Relationships

  • M. R. Kogalovsky
  • S. I. Parinov
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 518)


The paper discusses why and how the semantically enrichable research information system with embedded taxonomy of scientific relationship should support some specific scholarly communication. We illustrate it by examples of some services designed within the research information system SocioNet


Semantically enrichable research information system Scientific relationships taxonomy Controlled vocabulary SocioNet system 


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  1. 1.
    Allen, L., Brand, A., Scott, J., Altman, M., Hlava, M.: Credit where credit is due. Nature International Weekly Journal of Science. Nature 508(7496), April 2014.!/menu/main/topColumns/topLeftColumn/pdf/508312a.pdf
  2. 2.
    CRediT. An open standard for expressing roles intrinsic to research. Taxonomy.
  3. 3.
    Kogalovsky, M.R., Parinov, S.I.: Social Network Technologies for Semantic Linking of Information Objects in Scientific Digital Library. Programming and Computer Software 40(6), 313–320 (2014)CrossRefGoogle Scholar
  4. 4.
    Kogalovsky, M.R., Parinov, S.I.: Scientific communications in the semantic enrichable digital libraries. Program Engineering 4, 31–38 (2015). Кoгaлoвcкий M.P., Пapинoв C.И. Hayчныe кoммyникaции в cpeдe ceмaнтичecки oбoгaщaeмыx элeктpoнныx библиoтeк //Пpoгpaммнaя инжeнepия. 2015. № 4. C. 31-38Google Scholar
  5. 5.
    Kuhn, T., Barbano, P.E., Nagy, M.L., Krauthammer, M.: Broadening the scope of nanopublications. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 487–501. Springer, Heidelberg (2013). CrossRefGoogle Scholar
  6. 6.
    Parinov, S.: Towards a semantic segment of a research e-infrastructure: necessary information objects, tools and services. In: Dodero, J.M., Palomo-Duarte, M., Karampiperis, P. (eds.) MTSR 2012. CCIS, vol. 343, pp. 133–145. Springer, Heidelberg (2012). CrossRefGoogle Scholar
  7. 7.
    Parinov, S.: Semantic enrichment of research outputs metadata: new CRIS facilities for authors. In: Closs, S., Studer, R., Garoufallou, E., Sicilia, M.-A. (eds.) MTSR 2014. CCIS, vol. 478, pp. 206–217. Springer, Heidelberg (2014)Google Scholar
  8. 8.
    Parinov, S., Kogalovsky, M.: Semantic Linkages in Research Information Systems as a New Data Source for Scientometric Studies. Scientometric 98(2), 927–943 (2014)CrossRefGoogle Scholar
  9. 9.
    Parinov, S., Lyapunov V., Puzyrev R., Kogalovsky M.: Semantically enrichable research information system SocioNet. In: Proceedings of the same conference KESW-2015 (2015)Google Scholar
  10. 10.
    Semantic Web Applications in Neuromedicine (SWAN) Ontology. W3C Interest Group Note, October 20, 2009.
  11. 11.
    Shotton, D.: Open Citations and Related Work. Introduction the Semantic Publishing and Referencing (SPAR) Ontologies. October 14, 2010.
  12. 12.
    Shotton, D., Peroni, S.: Semantic annotation of publication entities using the SPAR (Semantic Publishing and Referencing) Ontologies/Beyond the PDF Workshop, La Jolla, January 19, 2011.
  13. 13.
    SKOS Simple Knowledge Organization System Reference. W3C Recommendation, August 18, 2009.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Market Economy Institute of RASMoscowRussia
  2. 2.The Central Economics and Mathematics Institute of RASMoscowRussia

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