PhD DATABASE

Title:  
Knowledge representation, modeling, acquisition and management with applications in Natural Language Processing
Abstract:  
The general idea is to provide a set of components that can be used as building blocks for Conceptual Graph applications
Current results:
•The formal methods for knowledge representation, modeling, acquisition and management are analyzed and classified.
•Research on main methods for visualization of knowledge base is performed.
•Algorithms for representation of knowledge using different formalisms are created as well as algorithms for converting between them.
•The component architecture for system for knowledge representation, modeling, acquisition and management is designed. It is based on the natural language processing technologies.
•The approach for using of automatically annotated texts is developed including editing of the annotation by the knowledge engineers.
URL:  
Area of Science:  
Computer Science
PhD Student:  
Pavlin Penchev Dobrev
E-mail:  
Scientific Adviser:  
Prof. Dr. Galia Angelova
E-mail:  
University:  
Institute for Parallel Processing
City:  
Sofia
Country:  
Bulgaria