In order to increase the attractiveness of public transport for urban residents, a software product has been created for transport companies that, by visualizing passenger traffic, helps to improve the quality of public transport services provided within the city. The paper analyses existing and current scientific developments and literature sources, which show the advantages and disadvantages of a large number of different algorithms and methods, approaches, and methods for solving problems of 2D- visualization of passenger flows on public routes.
In the article a model of intelligent system of offenses qualification in the computing is built.
In the paper the approach to automated construction of interpretation functions (axioms) of concepts and relations of the domain ontology during its training are considered. The method of recognizing the semantics of natural language texts and its representation in the form of descriptive logic.
The importance of ontology within concepts of the knowledge base and intelligent systems is considered in the article. Standard ISO/IEC 25012 has been offered for evaluation of ontologies qualities of knowledge bases of intelligent decision support systems.