https://doi.org/10.55956/ZIYQ7931

Abstract. Domain ontologies play a crucial role in organizing, sharing, and reusing domain-specific knowledge within software systems. However, developing a software ontology is a time-consuming and complex process. To create such an ontology, a large number of relevant publications must be analyzed. This task of enriching the ontology with data from these sources can be streamlined and accelerated through the use of lexical and syntactic patterns derived from ontological design. This paper presents a method for the automated construction of ontologies within a scientific domain, leveraging a system of heterogeneous ontological design patterns (ODPs). This system includes ODPs tailored for ontology developers and automatically generated lexical and syntactic patterns, which can be used to enrich ontologies with information extracted from natural language texts.

Keywords: scientific subject area, patterns, ontological design, patterns of content, automatic pattern generation, ontology replenishment.

Zagorulko Yu.A. Development of a method for automatic extraction of ontology entity names from natural language texts // Mechanics and Technology / Scientific journal. – 2024. – No.3(85). – P.486-494. https://doi.org/10.55956/ZIYQ7931

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