A5103021868- Semantic Web and Ontologies
- Big Data and Business Intelligence
- Technology Assessment and Management
- Cognitive Computing and Networks
- Service-Oriented Architecture and Web Services
- AI-based Problem Solving and Planning
- Advanced Text Analysis Techniques
- Retinal Imaging and Analysis
- Manufacturing Process and Optimization
- Engineering Education and Technology
- Competitive and Knowledge Intelligence
- Artificial Intelligence in Healthcare and Education
- Computational Drug Discovery Methods
- Innovation and Knowledge Management
- scientometrics and bibliometrics research
- Natural Language Processing Techniques
- Innovation Diffusion and Forecasting
- Health Literacy and Information Accessibility
- Software Engineering Techniques and Practices
- Topic Modeling
- Advanced Database Systems and Queries
- Neural Networks and Applications
- Research Data Management Practices
- Retinal Diseases and Treatments
- Advanced Computational Techniques and Applications
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...