Data Analytics and Management in Data Intensive Domains. Proceedings of the XX International Conference – DAMDID/RCDL’2018, October 9-12, 2018, Moscow
The “Data Analytics and Management in Data Intensive Domains” conference (DAMDID) traditionally is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research, promoting cooperation and exchange of ideas in the area of data analysis and management in domains driven by data intensive research. Approaches to data analysis and management being developed in specific data intensive domains (DID) of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social sciences, as well as in various branches of informatics, industry, new technologies, finance and business constitute the universe of the conference discourse. DAMDID conference was formed in 2015 as a result of transformation of the RCDL conference (“Digital libraries: advanced methods and technologies, digital collections”, http://rcdl.ru) so that the continuity with RCDL has been preserved after many years of its successful work.
An Application Programming Interface (API) for information system on the inorganic substances bandgap, known as «Bandgap», was developed to improve the information service for specialists in the sphere of inorganic chemistry and materials science. The «Bandgap» is integrated with other information systems on inorganic substances and materials properties, which provides the search for a wide range of specific substance parameters. Integrated information can be used to perform inorganic compound design and to discover new complex relations between the bandgap width and other parameters of semiconductor materials. Pattern recognition methods allow a prediction of the wide-bandgap semiconductors with chalcopyrite structure.