Автоматична генерація онтологій на основі статей українською мовою
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Date
2022
Authors
Жежерун, Олександр
Рєпкін, Максим
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Abstract
У статті представлено систему, яка здатна генерувати нові онтології або доповнювати наявні на основі статей українською мовою. Описано онтології та алгоритм, який доречний для використання у автоматизованому виокремленні концептів із текстів природною мовою.
Description
The article presents a system capable of generating new ontologies or supplementing existing ones
based on articles in Ukrainian. Ontologies are described and an algorithm suitable for automated concept
extraction from natural language texts is presented.
Ontology as a technology has become an increasingly important topic in contemporary research. Since
the creation of the Semantic Web, ontology has become a solution to many problems of understanding natural
language by computers. If an ontology existed and was used to analyze documents, then we would have
systems that could answer very complex queries in natural language. Google’s success showed that loading
HTML pages is much easier than marking everything with semantic markup, wasting human intellectual
resources. To find a solution to this problem, a new direction in the ontological field, called ontological
engineering, has appeared. This direction began to study ways of automating the generation of knowledge,
which would be consolidated by an ontology from the text.
Humanity generates more data every day than yesterday. One of the main levers today in the choice of
technologies for the implementation of new projects is whether it can cope with this flow of data, which will
increase every day. Because of this, some technologies come to the fore, such as machine learning, while
others recede to the periphery, due to the impossibility or lack of time to adapt to modern needs, as happened
with ontologies. The main reason for the decrease in the popularity of ontologies was the need to hire
experts for its construction and the lack of methods for automated construction of ontologies.
This article considers the problem of automated ontology generation using articles from the Ukrainian
Wikipedia, and geometry was taken as an example of the subject area. A system was built that collects data,
analyzes it, and forms an ontology from it.
Keywords
ontology engineering, база знань, онтологія, Protégé, аналіз природної мови, аналіз української мови, стаття, ontology engineering, knowledge base, ontology, Protégé, natural language analysis, Ukrainian language analysis
Citation
Жежерун О. П. Автоматична генерація онтологій на основі статей українською мовою / Жежерун О. П., Рєпкін М. С. // Наукові записки НаУКМА. Комп'ютерні науки. - 2022. - Т. 5. - С. 12-15. - https://doi.org/10.18523/2617-3808.2022.5.12-15