Application of lаrgе-sсаlе lіnguіstіс rеsоurсеs fоr the dоmаіn оntоlоgу extension (for the domain of «radiation safety»)

Authors

  • Елена Александровна Оробинская Lumier Unіvеrsіtу of Lyon-2 5 Pierre Mendes-France, Bron Cedex, France 69676, France
  • Наталия Валериевна Шаронова Nаtіоnаl Tесhnісаl Unіvеrsіtу ”Khаrkіv Pоlуtесhnіс Іnstіtutе” 79/2, Pushkіnskауа str., Khаrkіv, Ukrаіnе, 61002, Ukraine
  • Анастасия Юрьевна Дорошенко Nаtіоnаl Tесhnісаl Unіvеrsіtу ”Khаrkіv Pоlуtесhnіс Іnstіtutе” 79/2, Pushkіnskауа str., Khаrkіv, Ukrаіnе, 61002, Ukraine
  • Жан-Юг Шоша Laboratory ERIC,"Entrepôts, Représentation et Ingénierie des Connaissances", Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2014.26304

Keywords:

information extraction, relation recognition rules, example recognition rules, ontology extension, semantic analysis, radiation safety

Abstract

The paper proposes a new semi-automatic method, based on the NLP (natural language processing) principles for extension of the basic ontology (BO) for the domain of “Radiation Safety”.

Using this method, existing BO was extended with new examples, found in the corpus and related to basic concepts by the relation of synonymy. Thus, the possibility and effectiveness of external linguistic resource for finding synonyms of the concepts of basic domain ontology in the text corpus was proved. The results have shown a high level of relevance.

It was found in the experiment that pre-linguistic modeling and completeness of lexical resource play an important role for obtaining good results in the automatic extension of BO. This method can be considered as an important chain, still largely missing, necessary to raise the automatic ontology construction to a new level.

Author Biographies

Елена Александровна Оробинская, Lumier Unіvеrsіtу of Lyon-2 5 Pierre Mendes-France, Bron Cedex, France 69676

Graduate student

Laboratory ERIC

Наталия Валериевна Шаронова, Nаtіоnаl Tесhnісаl Unіvеrsіtу ”Khаrkіv Pоlуtесhnіс Іnstіtutе” 79/2, Pushkіnskауа str., Khаrkіv, Ukrаіnе, 61002

Dосtоr оf Еngіnееrіng, Prоfеssоr

Department of Intelligent Computer Systems

Анастасия Юрьевна Дорошенко, Nаtіоnаl Tесhnісаl Unіvеrsіtу ”Khаrkіv Pоlуtесhnіс Іnstіtutе” 79/2, Pushkіnskауа str., Khаrkіv, Ukrаіnе, 61002

Graduate student

Department of Intelligent Computer Systems

Жан-Юг Шоша, Laboratory ERIC,"Entrepôts, Représentation et Ingénierie des Connaissances"

Emeritus professor of the University Lyon2

Authorized of the cooperation mission withKharkov

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Published

2014-10-24

How to Cite

Оробинская, Е. А., Шаронова, Н. В., Дорошенко, А. Ю., & Шоша, Ж.-Ю. (2014). Application of lаrgе-sсаlе lіnguіstіс rеsоurсеs fоr the dоmаіn оntоlоgу extension (for the domain of «radiation safety»). Eastern-European Journal of Enterprise Technologies, 5(2(71), 9–14. https://doi.org/10.15587/1729-4061.2014.26304

Issue

Vol. 5 No. 2(71) (2014): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2014 Olena Orobinska, Nаtаlіа Shаrоnоvа, Аnаstаsііа Dоrоshеnkо

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