A5103021868- 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...
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,...
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...