Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security)
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Дата
2017
ORCID
DOI
Науковий ступінь
Рівень дисертації
Шифр та назва спеціальності
Рада захисту
Установа захисту
Науковий керівник
Члени комітету
Видавець
Анотація
We propose a hybrid, semi-automatic approach that uses the intersection of semantic classes of nouns and verbs built on the domain lexicon and builds kernel ontology from a list of initial concepts and then completes this kernel ontology by new entities detected in a large corpus of texts of international standards of Radiological Safety. The results confirm the important role of initial linguistic modeling and show that the external lexical resources available online can contribute effectively to the resolution of the problem of lexical disambiguation.
Опис
Ключові слова
ontology learning, text processing, semantic analysis, terms extraction
Бібліографічний опис
Orobinska O. Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security) [Electronic resource] / O. Orobinska, J.-H. Chauchat, N. Sharonova // Computational linguistics and intelligent systems (COLINS 2017) : proc. of the 1st Intern. Conf., 21 April, 2017, Kharkiv, Ukraine. – Electron. text data. – Kharkiv, 2017. – P. 127-128. – URL: http://colins.in.ua/wp-content/uploads/2018/02/colins_2017_97_101.pdf, free (accessed 08.09.2020).