Vladimir F. Khoroshevsky

ORCID: 0000-0003-2567-8005
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About
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Research Areas
  • Semantic Web and Ontologies
  • Big Data and Business Intelligence
  • Technology Assessment and Management
  • Service-Oriented Architecture and Web Services
  • Cognitive Computing and Networks
  • Advanced Text Analysis Techniques
  • AI-based Problem Solving and Planning
  • Manufacturing Process and Optimization
  • Computational Drug Discovery Methods
  • Engineering Education and Technology
  • Natural Language Processing Techniques
  • Innovation and Knowledge Management
  • scientometrics and bibliometrics research
  • Advanced Computational Techniques and Applications
  • Neural Networks and Applications
  • Innovation Diffusion and Forecasting
  • Artificial Intelligence in Healthcare and Education
  • Health Literacy and Information Accessibility
  • Topic Modeling
  • Advanced Database Systems and Queries
  • Retinal Diseases and Treatments
  • Retinal Imaging and Analysis
  • Research Data Management Practices
  • Competitive and Knowledge Intelligence
  • Software Engineering Techniques and Practices

Dorodnitsyn Computing Centre
2009-2023

Russian Academy of Sciences
1987-2019

Computing Center
2007-2016

Moscow Institute of Physics and Technology
2014

National Research University Higher School of Economics
2011-2014

Indian Statistical Institute
2011

University of California, Los Angeles
2011

American Jewish Committee
2011

Lancaster University
2011

Carnegie Mellon University
2011

Ontology-driven software engineering is the scope of paper. A retrospective analysis approaches, models and methods carried out. In first section, a brief overview "classical" technologies, approaches for presented. It shown that emphasis research development currently shifting from field technologies programming towards modeling design processes, as well specifications testing developed systems. outlined general trend in domain use tools ontology both processes per se The second section...

10.18287/2223-9537-2019-9-4-429-448 article EN Ontology of Designing 2019-12-12

A novel domain-independent approach to technology trend monitoring is presented in the paper. It based on ontology of a trend, hype cycles methodology, and semantic indicators which provide evidence maturity level technology. This forms basis for implementation text-mining software tools. Algorithms behind these tools allow users escape from getting too general or garbage results make it impossible identify promising technologies at early stages (early detection, weak signals). Besides,...

10.1142/s0219877017400120 article EN International Journal of Innovation and Technology Management 2016-11-16

Purpose: to analyze social media messages of patients with neovascular age-related macular degeneration (nAMD) and diabetic retinopathy (DR), or their careers in order investigates the patients’ opinion condition real clinical routine. Material methods. Real-life anonymized stories from Russian-language open Internet sources (forums, networks Russia) were processed by artificial intelligence techniques: technologies automated analysis unstructured natural language texts, including semantic...

10.21516/2072-0076-2023-16-1-51-58 article EN cc-by Russian Ophthalmological Journal 2023-03-15

10.3103/s0147688214050074 article EN Scientific and Technical Information Processing 2014-12-01

10.3103/s0147688211050066 article EN Scientific and Technical Information Processing 2011-12-01
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