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Approach to the Automated Development of Scientific Subject Domain Ontologies Based on Heterogeneous Ontology Design Patterns

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Artificial Intelligence (RCAI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12948))

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Abstract

Our practice has shown that for the development of ontologies of scientific subject domains (SSD), the use of ontology design patterns (ODPs) is especially effective. This is due to the fact that the ontology of any SSD contains, as a rule, a large number of typical fragments that are well described by the ODPs. In addition, since these patterns greatly facilitate the development of an SSD ontology, it is possible to involve experts in the modeled SSD not possessing the skills of ontological modeling, which, in turn, speeds up the development of an SSD ontology. In order to obtain an ontology that describes a given SSD fully enough, it is necessary to process a huge number of publications related to this SSD. We can facilitate and accelerate the process of populating an ontology with information from these sources using lexico-syntactic patterns. The paper presents an approach to automating the development of the SSD ontologies based on a set of heterogeneous ontology design patterns. This set includes two kinds of patterns: (a) patterns intended for ontology developers and (b) lexico-syntactic patterns automatically built on the basis of (a), capable of automatically populating the ontology with the information extracted from natural language texts.

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Acknowledgment

The research has been supported by Russian Foundation for Basic Research (project no. 19–07-00762).

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Authors and Affiliations

  1. A.P. Ershov Institute of Informatics Systems of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia

    Yury Zagorulko, Elena Sidorova, Irina Akhmadeeva, Alexey Sery & Galina Zagorulko

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  1. Yury Zagorulko
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  2. Elena Sidorova
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  3. Irina Akhmadeeva
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  4. Alexey Sery
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  5. Galina Zagorulko
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Correspondence to Yury Zagorulko .

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Editors and Affiliations

  1. Rostov State Transport University, Rostov-on-Don, Russia

    Sergei M. Kovalev

  2. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  3. Russian Academy of Sciences, Moscow, Russia

    Aleksandr I. Panov

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Zagorulko, Y., Sidorova, E., Akhmadeeva, I., Sery, A., Zagorulko, G. (2021). Approach to the Automated Development of Scientific Subject Domain Ontologies Based on Heterogeneous Ontology Design Patterns. In: Kovalev, S.M., Kuznetsov, S.O., Panov, A.I. (eds) Artificial Intelligence. RCAI 2021. Lecture Notes in Computer Science(), vol 12948. Springer, Cham. https://doi.org/10.1007/978-3-030-86855-0_17

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  • DOI: https://doi.org/10.1007/978-3-030-86855-0_17

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  • Online ISBN: 978-3-030-86855-0

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