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Selection Methods for Geodata Visualization of Metadata Extracted from Unstructured Digital Data for Scientific Heritage Studies

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Digital Transformation and Global Society (DTGS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1038))

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Abstract

The present study explores the methods of geodata visualization extracted from the metadata of scientific publications for use in scientific research using the scientific heritage of Georgy Gause. It is based on the results of case studies to assess the possibilities of digital information resources, metadata extraction from digital resources, and using methods for their quantitative processing. We have studied methods of extracting metadata from digital information systems that do not have export tools. Our concentration is on methods and technologies of geodata extraction, and their subsequent visualization are considered. They are considered and applied methods of a dynamic clustering of geodata markers. Based on geodata visualization, we interpreter the results. The possibility of using extracted metadata in scientific visualization systems that support standard formats is evaluated.

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Authors and Affiliations

  1. St. Petersburg State University, Universitetskaya nab. 7/9, 199034, St. Petersburg, Russia

    Dmitry Prokudin

  2. ITMO University, Kronverksky pr. 49, 197101, St. Petersburg, Russia

    Dmitry Prokudin

  3. Jena University, Am Steiger 3, 07743, Jena, Germany

    Georgy Levit & Uwe Hossfeld

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  1. Dmitry Prokudin
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  2. Georgy Levit
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  3. Uwe Hossfeld
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Correspondence to Dmitry Prokudin .

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Editors and Affiliations

  1. National Research University Higher School of Economics, St. Petersburg, Russia

    Daniel A. Alexandrov

  2. ITMO University, St. Petersburg, Russia

    Alexander V. Boukhanovsky

  3. ITMO University, St. Petersburg, Russia

    Andrei V. Chugunov

  4. National Research University Higher School of Economics, St. Petersburg, Russia

    Yury Kabanov

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

  6. National Research University Higher School of Economics, St. Petersburg, Russia

    Ilya Musabirov

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Prokudin, D., Levit, G., Hossfeld, U. (2019). Selection Methods for Geodata Visualization of Metadata Extracted from Unstructured Digital Data for Scientific Heritage Studies. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O., Musabirov, I. (eds) Digital Transformation and Global Society. DTGS 2019. Communications in Computer and Information Science, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-37858-5_46

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  • DOI: https://doi.org/10.1007/978-3-030-37858-5_46

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