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Semantic Attributes for Citation Relationships: Creation and Visualization

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Book cover Metadata and Semantic Research (MTSR 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 755))

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Abstract

This paper presents a method to process a content of research papers in binary PDF format at a server side that gives research information systems new features of citation content analysis. This method efficiently generates JSON versions of PDF documents that allows an easier recognition of papers’ references, in-text references, citation context, etc. As a result, one can parse an extended set of citation data, including a location of citations in a research paper’s structure, frequency of mentioning for the same references, style of reference mentioning and so on. Based on these data we upgrade traditional citation relationships by adding some semantic attributes. Formatting these semantic data according W3C Web Annotation Data Model and integrating the data with some annotation tools, we visualize citation relationships, its semantic attributes and related statistics as annotations for readers of PDF documents from a research information system.

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Notes

  1. 1.

    C40, the Citation Counting and Context Characterization Ontology. http://purl.org/spar/c4o.

  2. 2.

    http://dspacecris.eurocris.org/bitstream/11366/526/1/CRIS2016_paper_40_Parinov.pdf.

  3. 3.

    http://www.monash.edu.au/lls/llonline/writing/science/3.3.xml.

  4. 4.

    https://github.com/citeccyr.

  5. 5.

    http://www.ranepa.ru/eng/.

  6. 6.

    https://socionet.ru/.

  7. 7.

    http://repec.org/.

  8. 8.

    https://github.com/mozilla/pdf.js.

  9. 9.

    E.g. the PDFMiner at http://www.unixuser.org/~euske/python/pdfminer/.

  10. 10.

    https://nodejs.org/.

  11. 11.

    https://github.com/modesty/pdf2json.

  12. 12.

    The whole is at https://socionet.ru/citmap/convertedPDF/test_cris2016.json.

  13. 13.

    https://en.wikipedia.org/wiki/Percent-encoding.

  14. 14.

    https://github.com/citeccyr/pdf-stream.

  15. 15.

    The whole is at https://socionet.ru/citmap/convertedPDF/cris2016.json.

  16. 16.

    Available at https://socionet.ru/collection.xml?h=spz:neicon.

  17. 17.

    The whole is data at http://no-xml.socionet.ru/citmap/outputs/cris2016-refs.xml.

  18. 18.

    The whole is at http://no-xml.socionet.ru/citmap/outputs/cris2016-intext.xml.

  19. 19.

    https://github.com/hypothesis/pdf.js-hypothes.is.

  20. 20.

    https://sparinov.wordpress.com/2016/05/27/comments-within-full-texts-in-pdf/.

  21. 21.

    https://www.w3.org/TR/annotation-model/.

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Acknowledgments

A part of this research (related with the annotation tool development) is funded by Russian Foundation for Basic Research, grant 12-07-00518-a. Another part – the approach development for extracting citation content data with focus on the supercomputer simulation of interactions among the agents and research community environment is funded by RSF grant (project No. 14-18-01968).

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Authors and Affiliations

  1. Central Economics and Mathematics Institute of RAS, Moscow, Russia

    Sergey Parinov

  2. Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia

    Sergey Parinov

Authors
  1. Sergey Parinov
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Correspondence to Sergey Parinov .

Editor information

Editors and Affiliations

  1. Department of Library Science and Information Systems, Alexander Technological Educational Institute of Thessaloniki, Macedonia, Greece

    Emmanouel Garoufallou

  2. School of Digital Technologies, Tallinn University, Tallinn, Estonia

    Sirje Virkus

  3. Department of Library Science and Information Systems, Alexander Technological Educational Institute of Thessaloniki, Macedonia, Greece

    Rania Siatri

  4. American Farm School, Thessanloniki, Greece

    Damiana Koutsomiha

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Parinov, S. (2017). Semantic Attributes for Citation Relationships: Creation and Visualization. In: Garoufallou, E., Virkus, S., Siatri, R., Koutsomiha, D. (eds) Metadata and Semantic Research. MTSR 2017. Communications in Computer and Information Science, vol 755. Springer, Cham. https://doi.org/10.1007/978-3-319-70863-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-70863-8_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70862-1

  • Online ISBN: 978-3-319-70863-8

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