Methods and formal models of intelligent analysis of weakly structured data

Abstract

The article presents a formal presentation of four ontologies of knowledge bases of the software environment: ontology of a problem area, linguistic ontology, ontology of precedents, ontology of rules for analyzing texts in natural language. When developing the knowledge base of the software environment, it is necessary to formulate requirements for the model of knowledge representation, the ontology. The development of a unified environment for semantic analysis of flows of weakly structured information that implements modern intelligent algorithms for processing text information will greatly facilitate the decision-making process by a specialist in the time constraint mode, due to the possibility of using a single unified bank of expert knowledge in the work of the question-answer system, and will also allow an automated semantic verification of information flows in order to provide information ion safety organization.

Hybrid client‐server implementation and microservice architecture of automatic documentation analysis software

“…The flexible core is the central component of the software being developed; it interacts with the rest of the modules and processes user requests from the graphical interface. The kernel, in the process of functioning, processes user requests, interacts with data stores and provides the user with requested samples or calls processing functions from plug-ins [7,8].…”