ПРИМЕНЕНИЕ ДИСТРИБУТИВНОЙ СЕМАНТИКИ ПРИ ВЫДЕЛЕНИИ ЗНАЧИМЫХ СОЧЕТАНИЙ ЗАГОЛОВКОВ НЕСКОЛЬКИХ КОЛЛЕКЦИЙ ТЕКСТОВ ПРИ ФОРМАЛИЗАЦИИ ЛИНГВИСТИЧЕСКОЙ ЭКСПЕРТНОЙ ИНФОРМАЦИИ

Abstract

The paper discusses methods of forming special models for the representation of various setsof knowledge in various information systems. The work is devoted to the application of distributivesemantics in the identification of significant combinations in one subject area (PRO) within theframework of the formalization of linguistic expert information (LEI). The paper applies an approachto the formalization of LEI based on a set of analytical methods, where linear algebra is used asmodels. This approach makes it possible to initialize the procedure for the automatic formation ofhierarchical architectures of LEI or dendrograms when identifying significant combinations of titlesof several collections of texts. The scientific novelty lies in the proposed analytical approach usingdistributive semantics in identifying significant combinations of titles of several collections of texts,which allows for the analysis and processing of linguistic expert information. A distinctive characteristicof the proposed approach is the ability to formalize the ABM "Global Optimization Methods"based on the synthesis of various already existing hierarchies of the ABM under consideration. Thepaper aims to create conditions for the formalization of the LEI by applying distributive semanticswhen identifying significant combinations of titles of several collections. The practical value of thework lies in the development of a new approach to the formalization of LEI, taking into account distributivesemantics when identifying significant combinations of titles of several collections of texts.The ontology in owl format "Methods of global optimization" in the program "Protege" is also builtin the work. The ontology is built on the basis of related data about. The ontology constructed in thiswork complements the search structure within the framework of the considered PRO and can besupplemented and developed in the future.