PhD DATABASE

Title:  
Knowledge-based learning systems and the role of conceptual structures
Abstract:  
The goal of the PhD thesis is to investigate all aspects of the knowledge life cycle from its extraction (manual and semi-automatic), structuring and usage in different ITS modules. The formal apparatus chosen for knowledge representation and processing is the Conceptual Graphs (CGs), which are system of logic that can express the propositional context of sentences in natural language in a simple and intuitive way of visualization. The domain knowledge defined by conceptual structures has been tested in several module prototypes in a computer aided language learning system in the financial domain.
URL:  
Area of Science:  
Linguistic Modelling
PhD Student:  
Albena Kirilova Strupchanska
E-mail:  
Scientific Adviser:  
Prof. Dr. Galia Angelova
E-mail:  
University:  
Institute for Parallel Processing
City:  
Sofia
Country:  
Bulgaria