KNOWLEDGE ONTOLOGY MODEL FOR INTELLIGENT TEXT PROCESSING AND ANALYSIS SYSTEMS
Daniil Kravchenko · Известия Южного федерального университета. Технические науки · 2024
The article is devoted to solving the scientific problem of creating a top-level description of aknowledge ontology model for intelligent systems for processing and analyzing texts in natural language,built on the basis of an original component architecture that provides the necessary level of detail in thespecifications of the analyzed text information. The relevance of this task is due to the need to develop thetheoretical foundations for constructing information models of semantic dependencies within texts in naturallanguage. The author gives definitions to the main terms of the subject area under study. A formalizeddefinition of the problem being solved is presented. The problem of the “information explosion,” whichwas caused by the exponential growth in the volume of digital information, has led to a situation where upto 95% of the information flow contains unstructured data. In such conditions, the task of creating effectiveintelligent systems for searching and acquiring knowledge, including intelligent systems for processingand analyzing texts in natural language, becomes extremely urgent. The scientific direction forsolving this particular problem is Text Mining (TM) – the excavation of knowledge in text information.As an example of the applied task of using acquired knowledge, this study examines the significant problemof information support for the processes of preventing and/or eliminating the consequences of emergencysituations. In this task, the initial data are streams of text messages (news information, reports onthe technical condition of man-made objects, information about natural phenomena, etc.) arriving at decision-making centers, and the output is formed by predictive assessments and/or specific instructions regardingthe assessment situations and actions taken by certain specialists. One of the reasons hinderingthe development of intelligent text processing and analysis systems for solving problems of searching,acquiring and using knowledge is the insufficiently high level of models and algorithms efficiency thatprovide a comprehensive solution to the above-described problems of artificial intelligence, taking intoaccount the peculiarities of semantics and context.