Standard

Selection Methods for Geodata Visualization of Metadata Extracted from Unstructured Digital Data for Scientific Heritage Studies. / Prokudin, Dmitry; Levit, Georgy; Hossfeld, Uwe.

Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers. ed. / Daniel A. Alexandrov; Yury Kabanov; Olessia Koltsova; Ilya Musabirov; Alexander V. Boukhanovsky; Andrei V. Chugunov. Springer Nature, 2019. p. 542-553 (Communications in Computer and Information Science; Vol. 1038 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Prokudin, D, Levit, G & Hossfeld, U 2019, Selection Methods for Geodata Visualization of Metadata Extracted from Unstructured Digital Data for Scientific Heritage Studies. in DA Alexandrov, Y Kabanov, O Koltsova, I Musabirov, AV Boukhanovsky & AV Chugunov (eds), Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers. Communications in Computer and Information Science, vol. 1038 CCIS, Springer Nature, pp. 542-553, 4th International Conference on Digital Transformation and Global Society, DTGS 2019, St. Petersburg, Russian Federation, 19/06/19. https://doi.org/10.1007/978-3-030-37858-5_46, https://doi.org/10.1007/978-3-030-37858-5_46

APA

Prokudin, D., Levit, G., & Hossfeld, U. (2019). Selection Methods for Geodata Visualization of Metadata Extracted from Unstructured Digital Data for Scientific Heritage Studies. In D. A. Alexandrov, Y. Kabanov, O. Koltsova, I. Musabirov, A. V. Boukhanovsky, & A. V. Chugunov (Eds.), Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers (pp. 542-553). (Communications in Computer and Information Science; Vol. 1038 CCIS). Springer Nature. https://doi.org/10.1007/978-3-030-37858-5_46, https://doi.org/10.1007/978-3-030-37858-5_46

Vancouver

Prokudin D, Levit G, Hossfeld U. Selection Methods for Geodata Visualization of Metadata Extracted from Unstructured Digital Data for Scientific Heritage Studies. In Alexandrov DA, Kabanov Y, Koltsova O, Musabirov I, Boukhanovsky AV, Chugunov AV, editors, Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers. Springer Nature. 2019. p. 542-553. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-030-37858-5_46, https://doi.org/10.1007/978-3-030-37858-5_46

Author

Prokudin, Dmitry ; Levit, Georgy ; Hossfeld, Uwe. / Selection Methods for Geodata Visualization of Metadata Extracted from Unstructured Digital Data for Scientific Heritage Studies. Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers. editor / Daniel A. Alexandrov ; Yury Kabanov ; Olessia Koltsova ; Ilya Musabirov ; Alexander V. Boukhanovsky ; Andrei V. Chugunov. Springer Nature, 2019. pp. 542-553 (Communications in Computer and Information Science).

BibTeX

@inproceedings{ce20dbf275294a64ad5ba28869797238,
title = "Selection Methods for Geodata Visualization of Metadata Extracted from Unstructured Digital Data for Scientific Heritage Studies",
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.",
keywords = "Digital information resources, Digital scientific heritage, Dynamic clusterization, Geodata extraction, Geodata visualization, Georgy F. Gause, Metadata extraction, Scientific information",
author = "Dmitry Prokudin and Georgy Levit and Uwe Hossfeld",
year = "2019",
doi = "10.1007/978-3-030-37858-5_46",
language = "English",
isbn = "9783030378578",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "542--553",
editor = "Alexandrov, {Daniel A.} and Yury Kabanov and Olessia Koltsova and Ilya Musabirov and Boukhanovsky, {Alexander V.} and Chugunov, {Andrei V.}",
booktitle = "Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers",
address = "Germany",
note = "4th International Conference on Digital Transformation and Global Society, DTGS 2019 ; Conference date: 19-06-2019 Through 21-06-2019",
url = "http://dtgs-conference.org",

}

RIS

TY - GEN

T1 - Selection Methods for Geodata Visualization of Metadata Extracted from Unstructured Digital Data for Scientific Heritage Studies

AU - Prokudin, Dmitry

AU - Levit, Georgy

AU - Hossfeld, Uwe

N1 - Conference code: 4

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Digital information resources

KW - Digital scientific heritage

KW - Dynamic clusterization

KW - Geodata extraction

KW - Geodata visualization

KW - Georgy F. Gause

KW - Metadata extraction

KW - Scientific information

UR - http://www.scopus.com/inward/record.url?scp=85078514786&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-37858-5_46

DO - 10.1007/978-3-030-37858-5_46

M3 - Conference contribution

AN - SCOPUS:85078514786

SN - 9783030378578

T3 - Communications in Computer and Information Science

SP - 542

EP - 553

BT - Digital Transformation and Global Society - 4th International Conference, DTGS 2019, Revised Selected Papers

A2 - Alexandrov, Daniel A.

A2 - Kabanov, Yury

A2 - Koltsova, Olessia

A2 - Musabirov, Ilya

A2 - Boukhanovsky, Alexander V.

A2 - Chugunov, Andrei V.

PB - Springer Nature

T2 - 4th International Conference on Digital Transformation and Global Society, DTGS 2019

Y2 - 19 June 2019 through 21 June 2019

ER -

ID: 50008972