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Conceptual modeling of subject domains in data intensive research
| Author(s): | Nikolay A. Skvortsov, Leonid A. Kalinichenko, Dmitry Yu. Kovalev |
| Created: | 2016/12/05 |
| Published: | Selected Papers of the XVII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2015). CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1752. P. 7-15. |
| 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 of research methods, describing and testing of hypotheses. Astronomy as a sample data
intensive domain (DID) is chosen to demonstrate building of conceptual specifications and usage of them
for data analysis. |
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