Uzhva A.Y. 1
1 Volgograd State Technical University
Number of yearly published educational resources is rapidly growing. Therefore automatization of adaptive educational resources search become actual nowadays. Adaptive search should be performed with respect to learner profile and his current knowledge state. Analysis of existing models and methods shown that the most relevant method is combination of case-based reasoning with ontology based reasoning. Process of automatic ontology model creation considered. Resulting ontology can be used in adaptive search algorithm. Article includes description for structure of ontology model with support of case-based reasoning, architecture of software used for automatic model creation. The described model supports adaptive search algorithm with respect to learner profile.