Ontological approach to information support of investigations in active seismology

Braginskaya, Ludmila; Kovalevsky, V.; Grigoryuk, Andrey P.; Zagorulko, Galina

doi:10.1109/rpc.2017.8168060

Cited by 5 publications

(2 citation statements)

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“…To create the IIR NLP, we used ISSEA development technology [30]. This technology provides a resource shell, a methodology for building an ontology and resource content, a data editor, as well as tools for extracting scientific information from the internet [31].…”

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confidence: 99%

Development of an intelligent information resource model based on modern natural language processing methods

Sadirmekova

Sambetbayeva

Serikbayeva

et al. 2023

IJECE

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<span lang="EN-US">Currently, there is an avalanche-like increase in the need for automatic text processing, respectively, new effective methods and tools for processing texts in natural language are emerging. Although these methods, tools and resources are mostly presented on the internet, many of them remain inaccessible to developers, since they are not systematized, distributed in various directories or on separate sites of both humanitarian and technical orientation. All this greatly complicates their search and practical use in conducting research in computational linguistics and developing applied systems for natural text processing. This paper is aimed at solving the need described above. The paper goal is to develop model of an intelligent information resource based on modern methods of natural language processing (IIR NLP). The main goal of IIR NLP is to render convenient valuable access for specialists in the field of computational linguistics. The originality of our proposed approach is that the developed ontology of the subject area “NLP” will be used to systematize all the above knowledge, data, information resources and organize meaningful access to them, and semantic web standards and technology tools will be used as a software basis.</span>

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mentioning

confidence: 99%

Development of an intelligent information resource model based on modern natural language processing methods

Sadirmekova

Sambetbayeva

Serikbayeva

et al. 2023

IJECE

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“…Данный подход успешно применялся при разработке онтологий для таких научных областей, как «Поддержка принятия решений в слабоформализованных областях» [11], «Активная сейсмология» [12], «Поддержка решения вычислительно сложных задач математической физики на суперкомпьютерах» [13] и др.…”

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Building ontologies of scientific subject areas using the system of ontological design patterns

2021

AGROINFO-2021 Proceedings

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Scientific Infrastructure for the Support Studies the Geodynamic Process in the Seismic Prone Zones

Kovalevsky

Braginskaya

Grigoryuk

2018

2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE)

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Ontological approach to information support of investigations in active seismology

Cited by 5 publications

References 4 publications

Development of an intelligent information resource model based on modern natural language processing methods

Development of an intelligent information resource model based on modern natural language processing methods

Building ontologies of scientific subject areas using the system of ontological design patterns

Scientific Infrastructure for the Support Studies the Geodynamic Process in the Seismic Prone Zones

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