Intellectual Subsystems for Collecting Information from the Internet to Create Knowledge Bases for Self-Learning Systems

The article analyzes the problems that arise when creating subject-oriented intelligent systems based on information from the Internet. Approaches are described that allow improving the methods of collecting information and making an in-depth analysis of documents in order to improve the quality and accuracy of subject-oriented collections of documents. In addition, approaches are described to build self-learning systems that expand knowledge based on the collected information.