Integration of Data on Substance Properties Using Big Data Technologies and Domain-Specific Ontologies

Author:

Erkimbaev Adilbek,Zitserman Vladimir,Kobzev Georgii,Kosinov Andrey

Publisher

Springer International Publishing

Reference15 articles.

1. WhatIs.com (a reference and self-education tool about information technology). http://whatis/techtarget.com/definition/3Vs

2. Erkimbaev, A.O., Zitserman, V.Y., Kobzev, G.A., Kosinov, A.V.: Standardization of Storage and Retrieval of Semi-structured Thermophysical Data in JSON-documents Associated with the Ontology. In: CEUR –WS 2022, urn: nbn:de:0074-2022-6 (2017). http://ceur-ws.org/Vol-2022/paper36.pdf

3. Frenkel, M., Chirico, R.D., Diky, V., et al.: XML-based IUPAC standard for experimental, predicted, and critically evaluated thermodynamic property data storage and capture (ThermoML). Pure Appl. Chem. 78, 541–612 (2006). https://doi.org/10.1351/pac200678030541

4. Sturrock, C.P., Begley, E.F., Kaufman, J.G.: NISTIR 6785. MatML – Materials Markup Language Workshop Report, U.S. Department of Commerce. National Institute of Standards and Technology (2001)

5. Introducing JSON. http://json.org/index.html

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