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
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C40, the Citation Counting and Context Characterization Ontology. http://purl.org/spar/c4o.
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E.g. the PDFMiner at http://www.unixuser.org/~euske/python/pdfminer/.
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The whole is at https://socionet.ru/citmap/convertedPDF/test_cris2016.json.
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The whole is at https://socionet.ru/citmap/convertedPDF/cris2016.json.
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Available at https://socionet.ru/collection.xml?h=spz:neicon.
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The whole is data at http://no-xml.socionet.ru/citmap/outputs/cris2016-refs.xml.
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The whole is at http://no-xml.socionet.ru/citmap/outputs/cris2016-intext.xml.
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References
Smith, L.C.: Citation analysis. Libr. Trends 30(1), 83–106 (1981)
Garfield, E.: The relationship between citing and cited publications: a question of relatedness (1994). Originally published in the Current Contents
Barrueco, J.M., Krichel, T.: Building an autonomous citation index for grey literature: the economics working papers case. In: Proceedings GL6: Sixth International Conference on Grey Literature (2004). http://core.ac.uk/download/pdf/11878095.pdf
Waltman, L.: A review of the literature on citation impact indicators. J. Inf. 10(2), 365–391 (2016)
Alschner, W., Umov, A.: Towards An Integrated Database of International Economic Law (IDIEL) Disputes (2016)
Bertin, M., Atanassova, I.: A study of lexical distribution in citation contexts through the IMRaD standard. PloS Negl. Trop. Dis. 1(200,920), 83–402 (2014)
Bertin, M., Atanassova, I., Gingras, Y., Larivière, V.: The invariant distribution of references in scientific articles. J. Assoc. Inf. Sci. Technol. 67(1), 164–177 (2016)
Zhang, G., Ding, Y., Milojević, S.: Citation content analysis (CCA): a framework for syntactic and semantic analysis of citation content. J. Am. Soc. Inform. Sci. Technol. 64(7), 1490–1503 (2013)
Ding, Y., Zhang, G., Chambers, T., Song, M., Wang, X., Zhai, C.: Content-based citation analysis: the next generation of citation analysis. J. Assoc. Inf. Sci. Technol. 65(9), 1820–1833 (2014)
Oevermann, J.: Reconstructing semantic structures in technical documentation with vector space classification. In: SEMANTiCS (Posters, Demos, SuCCESS) (2016)
Dix, A., Levialdi, S., Malizia, A.: Semantic halo for collaboration tagging systems. In: The Social Navigation and Community-Based Adaptation Technologies Workshop, 20 June 2006
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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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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