THE METHOD OF AUTOMATED BUILDING OF DOMAIN ONTOLOGY

Authors

  • Igor Antonov Faculty of Computer Science and Electrical Power Engineering, Pskov State University (RU)
  • Iuliia Bruttan Faculty of Computer Science and Electrical Power Engineering, Pskov State University (RU)
  • Lilia Motaylenko Faculty of Computer Science and Electrical Power Engineering, Pskov State University (RU)
  • Dmitry Andreev Faculty of Computer Science and Electrical Power Engineering, Pskov State University (RU)

DOI:

https://doi.org/10.17770/etr2019vol2.4065

Keywords:

domain ontology, information systems, information retrieval, data mining, machine learning

Abstract

This article is devoted to the tasks of automating the construction of domain ontologies. In the beginning, the limitations and problems of constructing the ontology of the domain using the well-known methods are discussed. Next, a model of the domain ontology is proposed, which provides the ability to automatically build the ontological hierarchy, including the automatic synthesis of generalized concepts. Then, the article discusses the method of building an ontology based on the proposed model using machine learning, and discusses its capabilities and limitations.

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References

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Published

2019-06-20

How to Cite

[1]
I. Antonov, I. Bruttan, L. Motaylenko, and D. Andreev, “THE METHOD OF AUTOMATED BUILDING OF DOMAIN ONTOLOGY”, ETR, vol. 2, pp. 34–37, Jun. 2019, doi: 10.17770/etr2019vol2.4065.