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Extending ScholarlyData with Research Impact Indicators

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Semantics, Analytics, Visualization (SAVE-SD 2017, SAVE-SD 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10959))

Abstract

ScholarlyData is the reference linked dataset of the Semantic Web community about papers, people, organisations, and events related to its academic conferences. In this paper we present an extension of such a linked dataset and its associated ontology (i.e. the conference ontology) in order to represent research impact indicators. The latter includes both traditional (e.g. citation count) and alternative indicators (e.g. altmetrics).

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Notes

  1. 1.

    http://scopus.com/.

  2. 2.

    https://plumanalytics.com/.

  3. 3.

    http://purl.org/ontology/bibo/.

  4. 4.

    https://w3id.org/spar.

  5. 5.

    https://w3id.org/spar/biro.

  6. 6.

    https://w3id.org/spar/c4o.

  7. 7.

    https://w3id.org/scholarlydata/ontology/conference-ontology.owl.

  8. 8.

    http://www.neon-project.org/nw/.

  9. 9.

    M stands for millions.

  10. 10.

    http://ontologydesignpatterns.org/cp/owl/parameterregion.owl.

  11. 11.

    http://www.ontologydesignpatterns.org/ont/dul/DUL.owl.

  12. 12.

    I-Ont is available at https://w3id.org/scholarlydata/ontology/indicators-ontology.owl. The alignments are available at https://w3id.org/scholarlydata/ontology/indicators-ontology-aligns.owl.

  13. 13.

    https://www.w3.org/TR/turtle/.

  14. 14.

    https://w3id.org/scholarlydata/dumps/indicators/03-02-2018-indicators.nt.

  15. 15.

    https://w3id.org/scholarlydata/dumps.

  16. 16.

    https://w3id.org/scholarlydata/sparql.

  17. 17.

    https://goo.gl/t88H9c.

  18. 18.

    https://goo.gl/jxSRSx.

References

  1. Gangemi, A., Presutti, V.: Ontology design patterns. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. IHIS, pp. 221–243. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-92673-3_10

    Chapter  Google Scholar 

  2. Nuzzolese, A.G., Gentile, A.L., Presutti, V., Gangemi, A.: Conference linked data: the ScholarlyData project. In: Groth, P., et al. (eds.) ISWC 2016. LNCS, vol. 9982, pp. 150–158. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46547-0_16

    Chapter  Google Scholar 

  3. Di Iorio, A., et al.: Describing bibliographic references in RDF. In: Proceedings of 4th Workshop on Semantic Publishing, SePublica 2014, CEUR Workshop Proceedings 1155. CEUR-WS.org (2014)

    Google Scholar 

  4. Shotton, D.: Semantic publishing: the coming revolution in scientific journal publishing. Learn. Publ. 22(2), 85–94 (2009)

    Article  Google Scholar 

  5. Blomqvist, E., Presutti, V., Daga, E., Gangemi, A.: Experimenting with eXtreme design. In: Cimiano, P., Pinto, H.S. (eds.) EKAW 2010. LNCS (LNAI), vol. 6317, pp. 120–134. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16438-5_9

    Chapter  Google Scholar 

  6. Shema, H., et al.: Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics. J. Assoc. Inf. Sci. Technol. 65(5), 1018–1027 (2014)

    Article  Google Scholar 

  7. Priem, J., et al.: The altmetrics collection. PloS one 7(11), e48753 (2012)

    Article  Google Scholar 

  8. Ortega, J.L.: Reliability and accuracy of altmetric providers: a comparison among Altmetric, PlumX and Crossref Event Data (2018)

    Google Scholar 

  9. Bar-Ilan, J.: JASIST 2001–2010. Bull. Assoc. Inf. Sci. Technol. 38(6), 24–28 (2012)

    Article  Google Scholar 

  10. Grüninger, M., Fox, M.S.: The role of competency questions in enterprise engineering. In: Rolstadås, A. (ed.) Benchmarking—Theory and Practice. IAICT, pp. 22–31. Springer, Boston (1995). https://doi.org/10.1007/978-0-387-34847-6_3

    Chapter  Google Scholar 

  11. Hitzler, P., et al.: Towards a simple but useful ontology design pattern representation language. In: WOP 2017. CEUR-ws (2017)

    Google Scholar 

  12. Peroni, S., Shotton, D.: FaBiO and CiTO: ontologies for describing bibliographic resources and citations. J. Web Semant.: Sci. Serv. Agents World Wide Web 17, 33–43 (2012)

    Google Scholar 

  13. Presutti, V., Lodi, G., Nuzzolese, A., Gangemi, A., Peroni, S., Asprino, L.: The role of ontology design patterns in linked data projects. In: Comyn-Wattiau, I., Tanaka, K., Song, I.-Y., Yamamoto, S., Saeki, M. (eds.) ER 2016. LNCS, vol. 9974, pp. 113–121. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46397-1_9

    Chapter  Google Scholar 

  14. Li, X., et al.: Validating online reference managers for scholarly impact measurement. Scientometrics 91(2), 461–471 (2012)

    Article  Google Scholar 

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Acknowledgements

This work has been part-funded by the Italian National Agency for the Evaluation of Universities and Research Institutes (ANVUR) under grant agreement “Measuring the Impact of Research: Alterative Indicators” (MIRA).

Author information

Authors and Affiliations

  1. STLab, ISTC-CNR, Rome, Italy

    Andrea Giovanni Nuzzolese, Valentina Presutti & Aldo Gangemi

  2. FICLIT, University of Bologna, Bologna, Italy

    Aldo Gangemi

  3. DISI, University of Bologna, Bologna, Italy

    Paolo Ciancarini

Authors
  1. Andrea Giovanni Nuzzolese
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  2. Valentina Presutti
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  3. Aldo Gangemi
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  4. Paolo Ciancarini
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Corresponding author

Correspondence to Andrea Giovanni Nuzzolese .

Editor information

Editors and Affiliations

  1. Oxford e-Research Centre, University of Oxford, Oxford, UK

    Alejandra González-Beltrán

  2. Waltan Hall, KMi, Open University, Milton Keynes, UK

    Francesco Osborne

  3. Department of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy

    Silvio Peroni

  4. University of Bonn, Bonn, Germany

    Sahar Vahdati

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Nuzzolese, A.G., Presutti, V., Gangemi, A., Ciancarini, P. (2018). Extending ScholarlyData with Research Impact Indicators. In: González-Beltrán, A., Osborne, F., Peroni, S., Vahdati, S. (eds) Semantics, Analytics, Visualization . SAVE-SD SAVE-SD 2017 2018. Lecture Notes in Computer Science(), vol 10959. Springer, Cham. https://doi.org/10.1007/978-3-030-01379-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-01379-0_4

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