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May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
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A synthetic approach to building a canonical model of subject areas in the integration bus

P. 1–7.
Kazantsev N., Roslovtsev V., Shumsky L.

This paper is dedicated to the implementation considerations of a canonical model of subject areas in the integration bus and to the definition of data mapping corresponding to this model. The proposed approach to transforming data, when transferring them between individual applications or services of the system, is to convert input messages into output messages using an intermediate canonical representation of the data via rules that map the source model to the canonical one, and the canonical model to the target. Since the canonical model of a subject area serves a technical important task and is not intended for human use, it may be generated automatically instead of manually and designed `from scratch', as a `union' of models used in the various application parts of the system. Subject area models of the application parts being integrated may be written using different formalisms, and yet another formalism may be used for the canonical model, so that a mechanism is required to automatically capture various concepts expressed in various formal systems. In the present paper we focus on developing such a mechanism, based on the automatic generation of a (somewhat simplified) representation of the most important kinds of entities in the canonical model.

Language: English
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Keywords: управление знаниямиknowledge management

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ISKO-Maghreb, 2013 3rd International Symposium
Marrakech: IEEE, 2014.
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