Philip Moskalenko

Dr. Philip Moskalenko

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2015 in Automatic Documentation and Mathematical Linguistics
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Journal Article
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VGValeriya Gribova
Valeriya Gribova
AKA. S. Kleshchev
A. S. Kleshchev
PMPhilip Moskalenko
Philip Moskalenko
VTVadim Timchenko
Vadim Timchenko
A two-level model of information units is described. It can be used as a basis for computer tools for editing information with a complex structure with different levels of abstraction and invariance to technological spaces (subject domains) in a common conceptual framework for carriers of this information. Using editing tools which are based on this model makes it unnecessary to organize specialized training for these carriers or to involve professional intermediaries.

1 November 2015 in Automatic Documentation and Mathematical Linguistics
Verified
Journal Article
Closed access
PDF file
VGValeriya Gribova
Valeriya Gribova
AKA. S. Kleshchev
A. S. Kleshchev
PMPhilip Moskalenko
Philip Moskalenko
VTVadim Timchenko
Vadim Timchenko

1 December 2023 in Scientific and Technical Information Processing
Verified
Journal Article
Closed access
PDF file
VGValeriya Gribova
Valeriya Gribova
PMPhilip Moskalenko
Philip Moskalenko
VTVadim Timchenko
Vadim Timchenko
ESElena Shalfeeva
Elena Shalfeeva
The paper presents the IACPaaS cloud platform, which is used for creating intelligent services based on ontologies, as well as the conceptual ideas and arc

1 September 2017
Verified
Conference Paper
Closed access
VGValeriya Gribova
Valeriya Gribova
AKAlexander Kleschev
Alexander Kleschev
PMPhilip Moskalenko
Philip Moskalenko
VTVadim Timchenko
Vadim Timchenko
LFLeonid Fedorisdiev
Leonid Fedorisdiev
ESElena Shalfeeva
Elena Shalfeeva
Main features, functionality and perspectives of the IACPaaS platform are described. The platform provides three models of cloud services: PaaS, SaaS, and DaaS. It is intended for development of intelligent services and services with complex-structured data on the basis of several technologies.

28 September 2022
Verified
Book Chapter
Closed access
PDF file
VGValeriya Gribova
Valeriya Gribova
PMPhilip Moskalenko
Philip Moskalenko
VTVadim Timchenko
Vadim Timchenko
ESElena Shalfeeva
Elena Shalfeeva

1 January 2019
Verified
Conference Paper
Open access
PDF file
VGValeriya Gribova
Valeriya Gribova
PMPhilip Moskalenko
Philip Moskalenko
MPMargaret Petryaeva
Margaret Petryaeva
DODmitry Okun
Dmitry Okun
A review of modern software systems which solve different medical problems shows that there is a need for unified software-information environment which could provide access: for physicians to intelligent systems of decision support; for experts to knowledge bases and databases for their refinement and keeping in actual state; for students to simulators and training courses in different fields of medicine. Thus a concept of a cloud environment for development and use of a medical intelligent systems community is proposed. This environment concentrates medical information and software resources in a single virtual space and provides users with a wide access regardless of their geographical position. Information resources are ontologies (they define the structure of terms), knowledge bases and databases. Software resources are problem solvers (applied ones and system tools). Applied solvers are expert systems for decision support, case record editors, simulators, etc. System tools provide creation and management for information and software resources.