Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Cover of the book

2017 | OriginalPaper | Chapter

Conceptualization of Methods and Experiments in Data Intensive Research Domains

Authors : Nikolay A. Skvortsov, Leonid A. Kalinichenko, Dmitry Yu Kovalev

Published in: Data Analytics and Management in Data Intensive Domains

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
next chapter Semantic Search in a Personal Digital Library
Literature
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
Hey, T., et al. (eds.): The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, Redmond (2009)
11.
Abrial, J.R.: The B Book. Assigning Programs to Meanings. Cambridge University Press, Cambridge (1996)CrossRefMATH
12.
Belhajjame, K., et al.: Workflow-centric research objects: a first class citizen in the scholarly discourse. In: ESWC2012 Workshop on the Future of Scholarly Communication in the Semantic Web (SePublica2012), pp. 1–12, Heraklion (2012)
13.
Briukhov, D.O., Vovchenko, A.E., Kalinichenko L.A.: Support of the workflow specifications reuse by ensuring its independence of the specific data collections and services. In: Proceedings of the 15th Russian Conference on Digital Libraries RCDL 2013, vol. 1108, pp. 61–69. CEUR Workshop Proceedings (2013). (In Russian)
14.
15.
Kalinichenko, L.A., Briukhov, D.O., Martynov, D.O., Skvortsov, N.A., Stupnikov, S.A.: Mediation framework for enterprise information system infrastructures. In: Proceedings of the 9th International Conference on Enterprise Information Systems, ICEIS 2007. Volume Databases and Information Systems Integration, Funchal, pp. 246–251(2007)
16.
Kalinichenko, L.A., Stupnikov, S.A.: OWL as yet another data model to be integrated. In: Proceedings of the 15th East-European Conference Advances in Databases and Information Systems, vol. 2, pp. 178–189. Austrian Computer Society, Vienna (2011)
17.
Kalinichenko, L.A., Stupnikov, S.A., Martynov, D.O.: SYNTHESIS: a language for canonical information modeling and mediator definition for problem solving in heterogeneous information resource environments, 171 p. IPI RAS, Moscow (2007)
18.
Kalinichenko, L., Stupnikov, S., Vovchenko, A., Kovalev, D.: Rule-based multidialect infrastructure for conceptual problem solving over heterogeneous distributed information resources. In: Catania, B., et al. (eds.) New Trends in Databases and Information Systems. AISC, vol. 241, pp. 61–68. Springer, Cham (2013)CrossRef
19.
Kogalovskiy, M.R., Kalinichenko, L.A.: Conceptual modeling in database technologies and ontological models. In: Kalinichenko, L.A. (ed.) Proceedings of the Workshop on Ontological Modeling, pp. 114–148. IPI RAS, Moscow (2008). (In Russian)
20.
Luric, M., Tysoc, T.: LSST data management: entering the era of petascale optical astronomy. Proc. Int. Astron. Union 10(H16), 675–676 (2012)CrossRef
21.
22.
Schentz, H., le Franc, Y.: Building a semantic repository using B2SHARE. In: EUDAT 3rd Conference (2014)
23.
Skvortsov, N.A.: Application of concept refinement in salvation of ontology manipulation tasks. In: Proceedings of the Ninth Russian Conference on Digital Libraries RCDL 2007, pp. 225–229. Pereslavl University, Pereslavl-Zalesskij (2007). (In Russian)
24.
Skvortsov, N.A.: Using of an interactive proving system for ontology mapping. In: Proceedings of the Eighth Russian Conference on Digital Libraries, RCDL 2006, Suzdal, pp. 65–69. P.G. Demidov Yaroslavl State University, Yaroslavl (2006). (In Russian)
25.
Skvortsov, N.A., Kalinichenko, L.A., Kovalev, D.Y.: Conceptual modeling of subject domains in data intensive research. In: Selected Papers of the XVIII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2016), vol. 1752, pp. 7–15. CEUR Workshop Proceedings (2016). (In Russian)
26.
Skvortsov, N.A., et al.: Metadata model for semantic search for rule-based workflow implementations. Syst. Means. Inform. 24(4), 4–28 (2014). IPI RAS, Moscow (In Russian)
27.
Starr, J., et al.: Achieving human and machine accessibility of cited data in scholarly publications. PeerJ Comput. Sci. 1, e1 (2015)CrossRef
28.
Stupnikov, S.A.: Mapping of canonical model core specifications in abstract machine Notation. In: Formal Methods and Models for Compositional Infrastructures of Distributed Information Systems: The Systems and Means of Informatics, pp. 69–95. IPI RAS, Moscow (2005). Special Issue (In Russian)
29.
Tejo-Alonso, C., Berrueta, D., Polo, L., Fernández, S.: Metadata for web ontologies and rules: current practices and perspectives. In: García-Barriocanal, E., Cebeci, Z., Okur, M.C., Öztürk, A. (eds.) MTSR 2011. CCIS, vol. 240, pp. 56–67. Springer, Heidelberg (2011). doi:10.​1007/​978-3-642-24731-6_​6 CrossRef
30.
Vovchenko, A.E., et al.: From specifications of requirements to conceptual schema. In: Proceedings of the 12th Russian Conference on Digital Libraries RCDL 2010, pp. 375–381. Kazan Federal University, Kazan (2010). (In Russian)
31.
Walton, N.A., et al.: Taverna and workflows in the virtual observatory. In: Astronomical Data Analysis Software and Systems ASP Conference Series, vol. 394, p. 309 (2007)
32.
Wilkinson M., et al: The FAIR guiding principles for scientific data management and stewardship. Sci. data 3 (2016)
33.
Metadata
Title
Conceptualization of Methods and Experiments in Data Intensive Research Domains
Authors
Nikolay A. Skvortsov
Leonid A. Kalinichenko
Dmitry Yu Kovalev
Copyright Year
2017
Book
Data Analytics and Management in Data Intensive Domains

Print ISBN: 978-3-319-57134-8

Electronic ISBN: 978-3-319-57135-5

Copyright Year: 2017

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

Premium Partner

    Image Credits