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Conceptualization of Methods and Experiments in Data Intensive Research Domains

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Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 706))

Abstract

Nowadays research of various scopes especially in natural sciences requires manipulation of big volumes of data generated by observation, experiments and modeling. Organization of data-intensive research assumes definition of domain specifications including concepts (specified by ontologies) and formal representation of data describing domain objects and their behavior (using conceptual schemes), shared and maintained by communities working in the respective domains. Research infrastructures are based on domain specifications and provide methods applied to such specifications, collected and developed by research communities. Tools for organizing experiments in research infrastructures are also supported by conceptual specifications of measuring and investigating object properties, applying the research methods, describing and testing the hypotheses. Astronomy as a sample data intensive domain is chosen to demonstrate building of conceptual specifications and usage of them for data analysis.

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Acknowledgements

The work was partly supported by the Russian Foundation for Basic Research grants 15-29-06045, 16-07-01028, and 16-07-01162.

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Authors and Affiliations

  1. Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia

    Nikolay A. Skvortsov, Leonid A. Kalinichenko & Dmitry Yu Kovalev

Authors
  1. Nikolay A. Skvortsov
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  2. Leonid A. Kalinichenko
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  3. Dmitry Yu Kovalev
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Correspondence to Nikolay A. Skvortsov .

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Editors and Affiliations

  1. Federal Research Center “Computer Science and Control” of RAS, Moscow, Russia

    Leonid Kalinichenko

  2. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  3. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Yannis Manolopoulos

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Skvortsov, N.A., Kalinichenko, L.A., Kovalev, D.Y. (2017). Conceptualization of Methods and Experiments in Data Intensive Research Domains. In: Kalinichenko, L., Kuznetsov, S., Manolopoulos, Y. (eds) Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2016. Communications in Computer and Information Science, vol 706. Springer, Cham. https://doi.org/10.1007/978-3-319-57135-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-57135-5_1

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