Determining the weights of links in networks of terms
One of the most urgent problem in natural language processing, such as a formalization and creation of ontological models of subject domains based on the thematic text corpora is considered. Using text mining and natural language processing, with applying lingvo-statistical methods and computational...
Gespeichert in:
| Datum: | 2019 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Ukrainian |
| Veröffentlicht: |
Інститут проблем реєстрації інформації НАН України
2019
|
| Schlagworte: | |
| Online Zugang: | http://drsp.ipri.kiev.ua/article/view/199357 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Назва журналу: | Data Recording, Storage & Processing |
Institution
Data Recording, Storage & Processing| id |
drspiprikievua-article-199357 |
|---|---|
| record_format |
ojs |
| spelling |
drspiprikievua-article-1993572020-03-31T09:02:39Z Determining the weights of links in networks of terms Визначення вагових значень зв’язків у мережі термінів Lande, D. V. Dmytrenko, O. O. інформаційний простір глибинний аналіз тексту мережева модель предметна область мережа термінів граф горизонтальної видимості ненаправлена мережа термінів направлена зважена мережа термінів information space Тext Мining terminological ontology subject domain network of terms horizontal visibility graph undirected networks of terms directed weighted networks of terms One of the most urgent problem in natural language processing, such as a formalization and creation of ontological models of subject domains based on the thematic text corpora is considered. Using text mining and natural language processing, with applying lingvo-statistical methods and computational linguistics, networks models of subject domains have been created to provide a better interaction between human communicative acts that presented in sign and verbal form, and computer systems. A new approach for determining the weights of links in the network of terms which correspond to certain concepts of the considered subject domain has been proposed. In particular, applying the approach for determining the weights of links in the network of terms, the terminological ontology of subject domain that related with a climate emergency has been created as approbation. Further analysis of the created model made it possible to determine the most influential and significant links between the corresponding nodes in networks of terms that in turn correspond to certain concepts of the considered subject domain. The Python programming language and its separate functions of a specialized add-in — the module NLTK (Natural Language Toolkit open source library) is used to create the software realization of the proposed and considered approaches and methods. Using the software for modelling and visualization of graphs - Gephi, the built directed networks of terms have been visualized for better visual perception. The weighted directed networks of terms built according to the proposed approach can be used for automatically creating terminological ontologies of subject domains with the participation of experts. Also, the research result can be used to create personal search interfaces for users of information retrieval systems and also can be used in navigation systems in data-bases. It should help users of such systems simplify the process of searching the relevant information. Tabl.: 2. Fig.: 2. Refs: 18 titles. Розглянуто одну із найбільш актуальних проблем комп’ютерного аналізу природної мови — формалізацію та побудову онтологічних моделей предметних областей на основі текстових корпусів заданої тематики. Завдяки глибинному аналізу текстів та обробці природної мови, вико-ристовуючи лінгвостатистичні методи та методики обчислювальної лінгвістики, побудовано мережеві моделі предметних областей, для забезпечення кращої взаємодії комунікативних актів, поданих у знаково-словесній формі, та комп’ютерних систем. Зокрема, застосовуючи новий підхід до визначення вагових значень зв’язків у мережі понять, як апробацію було побудовано онтологічну модель для предметної області, що пов’язана з кліматичною надзвичайною ситуацією. Подальший аналіз побудованої моделі дав змогу визначити найбільш впливові та значущі зв’язки між відповідними вузлами у мережі термінів, які відповідають певним поняттям розглянутої предметної області. Інститут проблем реєстрації інформації НАН України 2019-12-24 Article Article application/pdf http://drsp.ipri.kiev.ua/article/view/199357 10.35681/1560-9189.2019.21.4.199357 Data Recording, Storage & Processing; Vol. 21 No. 4 (2019); 40-48 Регистрация, хранение и обработка данных; Том 21 № 4 (2019); 40-48 Реєстрація, зберігання і обробка даних; Том 21 № 4 (2019); 40-48 1560-9189 uk http://drsp.ipri.kiev.ua/article/view/199357/199720 Авторське право (c) 2021 Реєстрація, зберігання і обробка даних |
| institution |
Data Recording, Storage & Processing |
| baseUrl_str |
|
| datestamp_date |
2020-03-31T09:02:39Z |
| collection |
OJS |
| language |
Ukrainian |
| topic |
information space Тext Мining terminological ontology subject domain network of terms horizontal visibility graph undirected networks of terms directed weighted networks of terms |
| spellingShingle |
information space Тext Мining terminological ontology subject domain network of terms horizontal visibility graph undirected networks of terms directed weighted networks of terms Lande, D. V. Dmytrenko, O. O. Determining the weights of links in networks of terms |
| topic_facet |
інформаційний простір глибинний аналіз тексту мережева модель предметна область мережа термінів граф горизонтальної видимості ненаправлена мережа термінів направлена зважена мережа термінів information space Тext Мining terminological ontology subject domain network of terms horizontal visibility graph undirected networks of terms directed weighted networks of terms |
| format |
Article |
| author |
Lande, D. V. Dmytrenko, O. O. |
| author_facet |
Lande, D. V. Dmytrenko, O. O. |
| author_sort |
Lande, D. V. |
| title |
Determining the weights of links in networks of terms |
| title_short |
Determining the weights of links in networks of terms |
| title_full |
Determining the weights of links in networks of terms |
| title_fullStr |
Determining the weights of links in networks of terms |
| title_full_unstemmed |
Determining the weights of links in networks of terms |
| title_sort |
determining the weights of links in networks of terms |
| title_alt |
Визначення вагових значень зв’язків у мережі термінів |
| description |
One of the most urgent problem in natural language processing, such as a formalization and creation of ontological models of subject domains based on the thematic text corpora is considered. Using text mining and natural language processing, with applying lingvo-statistical methods and computational linguistics, networks models of subject domains have been created to provide a better interaction between human communicative acts that presented in sign and verbal form, and computer systems. A new approach for determining the weights of links in the network of terms which correspond to certain concepts of the considered subject domain has been proposed. In particular, applying the approach for determining the weights of links in the network of terms, the terminological ontology of subject domain that related with a climate emergency has been created as approbation. Further analysis of the created model made it possible to determine the most influential and significant links between the corresponding nodes in networks of terms that in turn correspond to certain concepts of the considered subject domain. The Python programming language and its separate functions of a specialized add-in — the module NLTK (Natural Language Toolkit open source library) is used to create the software realization of the proposed and considered approaches and methods. Using the software for modelling and visualization of graphs - Gephi, the built directed networks of terms have been visualized for better visual perception. The weighted directed networks of terms built according to the proposed approach can be used for automatically creating terminological ontologies of subject domains with the participation of experts. Also, the research result can be used to create personal search interfaces for users of information retrieval systems and also can be used in navigation systems in data-bases. It should help users of such systems simplify the process of searching the relevant information. Tabl.: 2. Fig.: 2. Refs: 18 titles. |
| publisher |
Інститут проблем реєстрації інформації НАН України |
| publishDate |
2019 |
| url |
http://drsp.ipri.kiev.ua/article/view/199357 |
| work_keys_str_mv |
AT landedv determiningtheweightsoflinksinnetworksofterms AT dmytrenkooo determiningtheweightsoflinksinnetworksofterms AT landedv viznačennâvagovihznačenʹzvâzkívumerežítermínív AT dmytrenkooo viznačennâvagovihznačenʹzvâzkívumerežítermínív |
| first_indexed |
2025-07-17T10:57:48Z |
| last_indexed |
2025-07-17T10:57:48Z |
| _version_ |
1850411409536450560 |