Integration of Information Resources Containing Data on the Properties of Substances and Materials: Practical Implementation and Existing Tools

Abstract

New methods of integrating scientific data on the properties of substances and materials that apply modern information technologies are analysed. The capabilities of systems created using the Semantic Web and Big Data are explored. Despite some differences in the tasks that are solved, both approaches are oriented towards working with large arrays of web-distributed, structurally heterogeneous data. Several data-integration platforms that have been developed in recent years, including a system designed by the authors, are studied. It is concluded that currently none of the integration systems can fully satisfy specific the requirements of scientific data. Nevertheless, several software elements and technological solutions are of interest and can support the implementation of a project to integrate scientific data on properties of substances and materials.